Abstract—Multiple access in 5G mobile networks is an emerging research topic, since it is key for the next generation network to keep pace with the exponential growth of mobile data and multimedia traffic. Non-orthogonal multiple access (NOMA) has recently received considerable attention as a promising candidate for 5G multiple access. The key idea of NOMA is to exploit the power domain for multiple access, which means multiple users can be served concurrently at the same time, frequency, and spreading code. Instead of using water-filling power allocation strategies, NOMA allocates more power to the users with poorer channel conditions, with the aim to facilitate a balanced tradeoff between system throughput and user fairness. Recent industrial demonstrations show that the use of NOMA can significantly improve the spectral efficiency of mobile networks. Because of such a superior performance, NOMA has been also recently proposed for downlink scenarios in 3rd generation partnership project long-term evolution (3GPP-LTE) systems, and the considering technique was termed multiuser superposition transmission (MUST). In this tutorial, we will provide a progress review for NOMA, including an information theoretic perspective of NOMA, the interaction between cognitive radio and NOMA, the design of MIMO and cooperative NOMA, the application of NOMA in millimeter-wave (mmWave) networks, and the impact of practical constraints, such as imperfect channel state information and limited feedback, on the performance of NOMA.
Objectives 1. Review for the overall requirements to realize spectrally efficient 5G communications.
2. The tutorial will start by introducing the basic concepts of NOMA in a simple scenario with one base station and multiple users, where each node is equipped with a single antenna. The performance gain of NOMA will be illustrated from an information theoretic perspective.
3. The interaction between the two 5G concepts, NOMA and cognitive ratio networks will be illustrated. On one hand, NOMA can be viewed as a special case of cognitive radio networks, which means that many solutions obtained from cognitive radio networks, particularly power allocation polices, can be applied to NOMA. On the other hand, the application of NOMA in cognitive radio networks can ensure secondary users are admitted in a more spectrally efficient way.
4. The combination of MIMO technologies and NOMA will be described. Unlike conventional multiple access techniques, the design of MIMO-NOMA is challenging. For example, power allocation of NOMA requires a step to order users according to their channel conditions. This user ordering is possible for SISO cases since it is easy to compare scalar channel coefficients, but it is difficult in MIMO scenarios in the presence of channel matrices/vectors. A few designs of MIMO-NOMA with different trade-offs between system performance and complexity will be illustrated.
5. The design of cooperative NOMA will be discussed. Note that in an NOMA system, successive interference cancellation is used, which means that some users know the other users’ information perfectly. Such priori information should be used, e.g., some users can be exploited as relays to help the others with poorer channel conditions. A few examples of cooperative NOMA protocols will be introduced and their advantages/disadvantages will be illustrated.
6. The application of NOMA in mmWave networks will be introduced. Similar to NOMA, the motivation for using mmWave communications is motivated by the spectrum crunch, but the solution provided by mmWave communications is to use mmWave bands which are less occupied compared to those used by current cellular networks. This talk to show that the use of NOMA is still important to mmWave networks, even though more bandwidth resources are available in very high frequencies, since the huge demands on bandwidth resources due to the exponential growth of broadband traffic can be met only by acquiring more radio spectrum and also efficiently using these acquired spectrum.
7. Recent standardization activities related to NOMA will be provided as well. Particularly the tutorial will focus on the implementation of multi-user superposition transmission (MUST), a technique which has been included into 3GPP LTE Release 13. Different forms of MUST, and their relationship to the fundamental form of NOMA will be discussed.
8. Challenges and open problems about realizing spectrally efficient NOMA communications in the next generation of wireless networks will be discussed.
1: Overview and Motivation
2: The Impact of User Pairing on NOMA
2: The Impact of Imperfect CSI
2: The Design of NOMA When Users Have Similar Channel Conditions
1: Cooperative NOMA
2: Basics of Cooperative NOMA
2: The Application of SWIPT to Cooperative NOMA
2: Relay Selection for Cooperative NOMA
1: Interplay Between Cognitive Radio and NOMA
2: Cognitive Radio inspired NOMA
2: Dynamic NOMA
2: The Application of NOMA to Cognitive Radio Networks
2: MIMO-NOMA With Limited CSIT
2: MIMO-NOMA With CSIT
2: Application of NOMA to Massive MIMO
1: The Application of NOMA to mmWave Communications
2: The Motivation and Introduction
2: Random Beamforming in mmWave-NOMA networks
2: Performance Analysis for mmWave-NOMA transmission
1. Research Challenges and Future Directions
Primary Audience In presenting the tutorial, all concepts are built up from basics therefore the audience only require a modest prior knowledge of communications and signal processing. Methods are then presented to adjust and engineer the system behaviours to improve the spectrum efficiency while quantitative vision is given on the corresponding costs of such changes. The analytical tools and concepts provided in this tutorial as well as the techniques and conclusions are in line with the objectives and interests of IEEE VTC attendees, such as telecommunication engineers, academic researchers and graduate students.
Novelty This tutorial presents a timely overview on achieving spectrally efficient communications, the holy grail of modern wireless communications, particularly for emerging 5G networks. Therefore, the tutorial will shed light on some fundamental challenges in designing such spectrally efficient networks from the system engineering perspective. In presenting the tutorial, all concepts are built up from basics therefore the audience only require a modest prior knowledge of communications and signal processing. Furthermore, instructors’ newly published research results on the impact of NOMA communications on the system trade-offs will also be presente
Biography Zhiguo Ding received his B.Eng in Electrical Engineering from the Beijing University of Posts and Telecommunications in 2000, and the Ph.D degree in Electrical Engineering from Imperial College London in 2005. From Jul. 2005 to Aug. 2014, he was working in Queen’s University Belfast, Imperial College and Newcastle University. Since Sept. 2014, he has been with Lancaster University as a Chair Professor in Signal Processing. From Sept. 2012 to Sept. 2017, he is also an academic visitor in Princeton University working with Prof. Vincent Poor.
Dr Ding’ research interests are 5G networks, game theory, cooperative and energy harvesting networks and statistical signal processing. He is serving as an Editor for IEEE Transactions on Communications, IEEE Transactions on Vehicular Networks, IEEE Wireless Communication Letters, IEEE Communication Letters, and Journal of Wireless Communications and Mobile Computing. He was the TPC Co-Chair for the 6th IET International Conference on Wireless, Mobile & Multimedia Networks (ICWMMN2015), Symposium Chair for International Conference on Computing, Networking and Communications (ICNC 2016), and the 25th Wireless and Optical Communication Conference (WOCC), and Co-Chair of WCNC-2013 Workshop on New Advances for Physical Layer Network Coding. He received the best paper award in IET Comm. Conf. on Wireless, Mobile and Computing, 2009 and the 2015 International Conference on Wireless Communications and Signal Processing (WCSP 2015), IEEE Communication Letter Exemplary Reviewer 2012, and the EU Marie Curie Fellowship 2012-2014.
Abstract—Communication at millimeter wave (mmWave) frequencies is defining a new era of wireless communication. The mmWave band relieves spectral gridlock at lower frequencies by offering much higher bandwidth communication channels than presently used in commercial wireless systems. The next generation of wireless local area networks is exploiting the mmWave unlicensed band at 60 GHz to provide multi-gigabit-persecond data rates. There is also growing interest in using mmWave licensed spectrum for 5G cellular systems at other mmWave frequencies. The potential for mmWave is immense.
The large spectral channels at mmWave frequencies provide a means of achieving much higher data rates in vehicular communication systems. High data rates can be used for exchanging low-level sensing data (i.e., without much processing) or for infotainment applications to improve traffic safety and efficiency as well as user experience onboard.
This tutorial provides an overview of mmWave vehicular communication with an emphasis on results on channel measurements, the physical (PHY) layer, and the medium access control (MAC) layer. The main objective is to summarize key findings in each area, with special attention paid to identifying potential automotive applications and important topics of future research. In addition to surveying existing work, some new simulation results are also presented to give insights on the effect of directionality and blockage, which are the two distinguishing features of mmWave vehicular channels. A main conclusion is that given the renewed interest in high rate vehicle connectivity, many challenges remain in the design of a mmWave vehicular network.
Objectives Introduce the mmWave for connected vehicles, called V2X.
Explain the motivation for exchanging high data rates between vehicles.
Explain the fundamentals of mmWave communication, including channel models, large arrays, and MIMO signal processing models.
Review relevant work on mmWave V2X channel measurements including large-scale and small-scale channel models.
Introduce research challenges in mmWave V2X channel modeling.
Review past work on mmWave PHY design for V2X.
Introduce recent work on mmWave PHY including beam adaptation based on position.
Summarize key research challenges in the mmWave PHY.
Review past work on mmWave MAC design for V2X.
Introduce recent work on mmWave MAC including simulations based on vehicle position.
Summarize key research challenges in the mmWave MAC.
Provide further directions for future work. A main conclusion is that given the renewed interest in high rate vehicle connectivity, many challenges remain in the design of a mmWave vehicular network.
1: Potential Applications of Gbps Vehicular Communications
1: MmWave Communication Fundamentals
2: Antenna arrays
2: MIMO communication at mmWave
1: MmWave Vehicular Channel
2: Large-scale models
2: Small-scale models
2: Research challenges
1: PHY Design for MmWave Vehicular Communications
2: Early work on mmWave PHYs
2: Recent work on mmWave PHYs
2: Research challenges
1: MAC Design for MmWave Vehicular Communications
2: Early work on mmWave MACs
2: Recent work on mmWave MACs
2: Research challenges
Primary Audience The target audience is researchers and engineers who are aimed at understanding the existing literature study and recent work on mmWave vehicular communications. This will be of interest to PhD students, as well as engineers from companies.
Novelty The novelty of this tutorial is that this tutorial provides an overview of mmWave vehicular communication with an emphasis on results on channel measurements, the physical (PHY) layer, and the medium access control (MAC) layer, covering the existing literature and recent work. Special is paid to identifying potential automotive applications and important topics of future research, from automotive and academic perspective. Most other tutorials focus on DSRC, which is a non-mmWave technology.
Biography Takayuki Shimizu is a Researcher of TOYOTA InfoTechnology Center, U.S.A., Inc. (Toyota ITC US). Since he joined Toyota ITC US in 2012, he has been working on the research of wireless vehicular communications and the development of smart grid systems for plug-in electric vehicles. He received the B.E., M.E., and Ph.D. degrees from Doshisha University, Kyoto, Japan, in 2007, 2009, and 2012, respectively. From 2009 to 2010, he was a visiting researcher at Stanford University, CA, USA. His current research interests include millimeter wave vehicular communication, vehicular communications for automated driving, and LTE/5G for vehicular applications. He is a co-author of the recently published NOW monograph entitled “Millimeter Wave Vehicular Communications: A Survey” published by NOW Publishers in 2016. He is a 3GPP standardization delegate in RAN WGs and SA1 WG. He is a member of the IEEE, IEICE, and SAE.
Robert W. Heath Jr. received the Ph.D. in EE from Stanford University. He is a Cullen Trust for Higher Education Endowed Professor in the Department of Electrical and Computer Engineering at The University of Texas at. Prof. Heath is a recipient of the 2012 Signal Processing Magazine Best Paper award, a 2013 Signal Processing Society best paper award, the 2014 EURASIP Journal on Advances in Signal Processing best paper award, and the 2014 Journal of Communications and Networks best paper award, the 2016 IEEE Communications Society Fred W. Ellersick Prize, and the IEEE Communications Society and Information Theory Society Joint Paper Award. He is a co-author of the book “Millimeter Wave Wireless Communications” published by Prentice Hall and author of Digital Wireless Communication: Physical Layer Exploration Lab Using the NI USRP, National Technology and Science Press. He is a licensed Amateur Radio Operator, a registered Professional Engineer in Texas, and is a Fellow of the IEEE.
Abstract—Wireless communication technologies are ubiquitous nowadays. Most of the smart devices have
Cellular, Wi-Fi, Bluetooth connections. These technologies have been developed for many years, nonetheless they are still being enhanced. More development can be expected in the next 5 years, such as faster transmission data rate, more efficient spectrum usage, lower power consumption, etc. Similarly, cellular networks have been evolved for several generations. For example, GSM as part of 2G family, UMTS as part of the 3G family, and LTE as part of 4G family. In the next few years, 5G cellular network systems will continue the evolution to keep up with the fast-growing needs of customers. Secure wireless communications will certainly be part of other advances in the industry such as multimedia streaming, data storage and sharing in clouds, mobile cloud computing services, etc. This tutorial covers the topics on security for next generation mobile wireless networks, with focusing on 4G (LTE and LTE-A) and 5G mobile wireless network systems, followed by a discussion on the challenges and open research issues in the area of 5G security.
Objectives Wireless communication technologies are ubiquitous nowadays. Most of the smart devices have Cellular, Wi-Fi, Bluetooth connections. These technologies have been developed for many years, nonetheless they are still being enhanced. For instance, Wi-Fi has been enhanced from IEEE 802.11a/b/g standards to IEEE 802.11n/ac standards. More development can be expected in the next 5 years, such as faster transmission data rate, more efficient spectrum usage, lower power consumption, etc. Similarly, cellular networks have been evolved for several generations. For example, GSM as part of 2G family, UMTS as part of the 3G family, and LTE as part of 4G family. In the next few years, 5G cellular network systems will continue the evolution to keep up with the fast-growing needs of customers. Secure wireless communications will certainly be part of other advances in the industry such as multimedia streaming, data storage and sharing in clouds, mobile cloud computing services, etc.
Wireless security is one of the most important topics and attracting more and more attention from industry, research, and academia. Network system security encompasses integrity, authentication, confidentiality and non-repudiation of both user and management information. Unlike wired communication networks that have some degree of physical security, physical security in mobile wireless communication networks is impossible to achieve on wireless links (because of the broadcast nature) and therefore security attacks on information flow are the most widespread. Modification of information is possible because of the nature of the channel and the mobility of nodes. The radio channel is harsh and subject to interference, fading, multipath, and high error rates. As a result, packet losses are common even without security threats. An opponent can make use of these natural impairments to modify information and also render the information unavailable. This tutorial will address all these issues. Special attention will be paid to wireless specific issues, e.g., tradeoffs between security and power consumption, adaptively changing security protocols in response to the radio channel, etc. This tutorial covers the topics on security for next generation mobile wireless networks, with focusing on 4G (LTE and LTE-A) and 5G mobile wireless network systems, followed by a discussion on the challenges and open research issues in the area.
1. Security concepts & mechanisms (20 minutes)
a. Security services – confidentiality, integrity and authentication – and their use for protection/prevention in wireless communication networks
b. Other prevention mechanisms – access control, firewalls, and perimeter security
2. Classical mobile wireless network security (20 minutes)
a. A quick overview of 2G & 3G Security
i. Network security of CDMA and GSM
ii. Network security of UMTS and WiMAX
3. Mobile wireless network security - 4G Security (LTE, LTE-A) (50 minutes)
a. Vulnerabilities of LTE & LTE-A system architecture
b. LTE & LTE-A security architecture
c. LTE & LTE-A security features and mechanisms
d. Heterogeneous and small cell network security
e. Solutions to the related security issues in LTE & LTE-A
4. Next generation mobile wireless network security - 5G Security (60 minutes)
a. Overview of potential network security of 5G networks
i. Security for new service delivery models
ii. Evolved threat landscape
iii. Increased privacy concerns in 5G
b. 5G radio network security
c. Flexible and scalable security architecture
d. Energy-efficient security
e. Massive MIMO security and privacy
f. High frequency communications security
g. Cloud security
h. Other security issues in 5G
5. Challenges and open research issues (15 minutes)
6. Conclusion (15 minutes)
Primary Audience Graduate students, professors, researchers, scientists, practitioners, engineers, Industry managers, consultants, and government security agencies.
Novelty This tutorial not only covers the current research and development on security for 4G (LTE and LTE-A), but also the latest development on security for 5G mobile wireless network systems, and the unique discussions on the challenges and open research issues in the area, based on the tutorial speaker’s own research experience.
Biography Yi Qian is a professor in the Department of Electrical and Computer Engineering, University of Nebraska-Lincoln (UNL). Prior to joining UNL, he worked in the telecommunications industry, academia, and the government. His research interests include information assurance and network security, network design, network modeling, simulation and performance analysis for next generation wireless networks, wireless ad-hoc and sensor networks, vehicular networks, smart grid communication networks, broadband satellite networks, optical networks, high-speed networks and the Internet. He is serving on the editorial board for several international journals and magazines, including serving as the Associate Editor-in-Chief for IEEE Wireless Communications Magazine. He was the Chair of IEEE Communications Society Technical Committee for Communications and Information Security 2014-2015. He is a Distinguished Lecturer for IEEE Vehicular Technology Society.
Dr. Qian has been teaching “Network Security” every fall semester, and “Wireless Security” every spring semester after he joined University of Nebraska-Lincoln in 2009. He received two best teaching awards from the College of Engineering at UNL in the last few years. After teaching “Wireless Security” at UNL for the last six years, Dr. Qian is writing a comprehensive textbook on the topic, “Security in Wireless Communication Networks”, to be published by Wiley/IEEE Press in 2017.
Abstract—In this tutorial lecture, we discuss the challenges and opportunities of the Tactile Internet and its fundamental concepts. Early 5G research was mainly about big data pipes and further increasing possible data rates in cellular as well as access networks. This situation changes. Current research towards 5G networks and the Tactile Internet focuses primarily on two core aspects: providing ultra-low latency as well as ultra-high reliability. Among many others, distributed control is considered a target application for such networking technologies. In the scope of this tutorial, we concentrate on connected cars as a prominent example – other include industry automation and smart city operations. In this scenario, short range radio broadcast as well as direct machine to machine communication will play a major role. The Tactile Internet activities are now coordinated by the IEEE Communications Society Tactile Internet Sub-Committee.
We will primarily discuss the challenges and opportunities of the connected cars vision in relation to some of the most needed components in modern smart cities: improved road traffic safety combined with reduced travel times and emissions. Using selected application examples including the use of virtual traffic lights, intelligent intersection management, and platooning, we assess the needs on the underlying system components. We also shed light on the potentials of a vehicular cloud based on parked vehicles as a spatio-temporal network and storage infrastructure. Vehicular networking solutions have been investigated for more than a decade but recent standardization efforts just enable a broad use of this technology to build large scale intelligent transportation systems.
Objectives Tactile Internet: Vision and Fundamental Concepts
Recapping the Past: Vehicular Networking Applications
Requirements of applications ranging from safety to infotainment
Protocol design options for connected cars
Platooning as a strategic application example
Simulation tools: Overview of (integrated) network and traffic simulators
Open issues and areas that require further research
1: Tactile Internet: Vision and Fundamental Concepts
2: Recapping the Past: Vehicular Networking Applications
3: Requirements of applications ranging from safety to infotainment
4: Protocol design options for connected cars
5: Platooning as a strategic application example
6: Simulation tools: Overview of (integrated) network and traffic simulators
7: Open issues and areas that require further research
Primary Audience Audience will range from graduate students working in this area, to academics who want to have an idea on the status and future research issues, and practitioners from communications and automotive industries.
Novelty 5G and the Tactile Internet is a brand new initiative currently gaining speed by the rising interest in the IEEE Communications Society.
Biography Falko Dressler is a Full Professor for Computer Science and head of the Distributed Embedded Systems Group at the Dept. of Computer Science, University of Paderborn. Before moving to Paderborn, he was a Full Professor at the Institute of Computer Science, University of Innsbruck between 2011 and 2014, and an Assistant Professor at
the Dept. of Computer Science, University of Erlangen. Dr. Dressler received his M.Sc. and Ph.D. degrees from the Dept. of Computer Science, University of Erlangen in 1998 and 2003, respectively.
He is an editor for journals such as IEEE Trans. on Mobile Computing, Elsevier Ad Hoc Networks, Elsevier Computer Communications, and Elsevier Nano Communication Networks. He was guest editor of special issues on self-organization, autonomic networking, vehicular networks, and bio-inspired communication for IEEE Journal on Selected Areas in Communications (JSAC), Elsevier Ad Hoc Networks, and others. Dr. Dressler was General Chair of IEEE/ACM BIONETICS 2007, IEEE/IFIP WONS 2011, IEEE VNC 2014, and ACM MobiHoc 2016, TPC Co-Chair
for IEEE INFOCOM, IEEE VNC, IEEE VTC, IEEE GLOBECOM, and ACM MSWiM, and Poster/Demo Chair for ACM MobiCom. He regularly serves in the program committee of leading IEEE and ACM conferences. Dr. Dressler authored the textbooks Self-Organization in Sensor and Actor Networks published by Wiley in 2007 and Vehicular Networking published by Cambridge University Press in 2014. Dr. Dressler has been an IEEE Distinguished Lecturer as well as an ACM Distinguished Speaker in the fields of inter-vehicular communication, self-organization, and
bio-inspired and nano-networking. Dr. Dressler is a Senior Member of the IEEE (COMSOC, CS, VTS) as well as a Senior Member of ACM (SIGMOBILE), and member of GI (GIBU, KuVS). He is actively participating in the IETF standardization. His research objectives include adaptive wireless networking, self-organization techniques, and embedded system design with applications in ad hoc and sensor networks, vehicular networks, industrial wireless networks, and nano-networking.
Abstract—5G radio access technology is expected to multiplex in the same frequency carrier a plethora of diverse services ranging from enhanced Mobile Broadband (eMBB) to Ultra-reliable Low-latency communication (URLLC) and asynchronous massive Machine Type of Communication (mMTC). This has motivated the research of enhanced waveforms aiming at overcoming the limitations of traditional Cyclic Prefix – Orthogonal Frequency Division Multiplexing (CP-OFDM) in term of spectral containment.
However, in 3GPP RAN1 #85 meeting (August 2016), it has been agreed that New Radio (NR) technology to be deployed from 2020 should still support CP-OFDM waveform for eMBB and URLLC services, possibly with additional low PAPR techniques. Nonetheless, additional pre-processing techniques on top of CP-OFDM are not precluded, and it is also agreed that additional waveforms may be supported for eMTC. Such apparently conservative decision paves the way to a set of proposed enhancements that, without being disruptive, are still able to circumvent the most significant CP-OFDM drawbacks.
This tutorial offers a comprehensive overview of the 5G waveforms in the light of the standardization process, with particular emphasis on the solutions which will be consolidated for the time of VTC-Spring 2017. Demerits of CP-OFDM competitors such as Filter Bank Multicarrier (FBMC) and Generalized Frequency Division Multiplexing (GFDM) will be analyzed in order to justify 3GPP decisions. Potential additional enhancements of the agreed waveforms will also be discussed with the aim of further strengthening their performance benefits with respect to CP-OFDM while maintaining high degree of compatibility.
Objectives This tutorial aims at covering fundamental aspects of the physical layer design for 5G New Radio. Research on 5G radio access technology has started around five years ago, and waveform design has always been a hot topic given the urge of overcoming the CP-OFDM demerits in the support of diverse services or asynchronous transmission. The initial research phase has been focused on disruptive techniques such as Filter Bank Multicarrier solutions, which promise tremendous performance benefits at the expense of a significant increase of computational complexity. However, since the early standardization meetings in 3GPP, the conservative usage of traditional CP-OFDM has been nailed down as a basis for the waveform design. While such a decision filters out several of the waveform solutions proposed in the recent literature, it paves the way to a set of attractive enhancements which aim at overcoming the OFDM drawbacks while maintaining a high degree of compatibility.
The main value of the tutorial with respect to similar dissemination activities in the past years, lies in his tight connection with the parallel standardization process in 3GPP. In other words, it aims at offering the audience a very pragmatic vision on the waveform design for 5G by focusing on the 3GPP decisions and related motivations.
In detail, the main objectives of the tutorial are the following:
• Presenting the main waveform requirements for 5G in relation to its targeted services, highlighting the new challenges with respect to the existing radio access technologies
• Presenting a very generic overview of multicarrier vs. single carrier waveforms
• Explaining in details CP-OFDM and DFT-s-OFDM technologies, why they have been selected in 4G and they are still attractive for 5G
• Motivate and eventually criticize the 3GPP decisions
• Offering a comprehensive overview of the waveform alternatives and motivate why they have been discarded in the standardization process
• Describing a set of potential enhancements such as Zero-Tail DFT-s-OFDM, Unique Word DFT-s-OFDM or Filtered OFDM which reduces the CP-OFDM drawbacks and maintain a high degree of compatibility.
• Presenting the open issues and opportunities on the design and implementation of 5G waveforms
The tutorial aims then at providing an initial understanding of the importance of the waveform design and how this has been tackled by one of the main standardization bodies. Obviously, the tutorial will be following the latest decisions and agreements of 3GPP at the time of VTC-Spring 2017.
2: What 5G will be
2: Desired waveform characteristics in 4G and 5G
1: General waveform overview
2: An historical perspective on the waveform design
2: Single carrier waveforms
2: Multicarrier waveform
2: Transmission over Low frequency bands vs. High frequency bands
1: A look at the present: 4G waveforms
3: Principles and design
3: Dealing with the Multipath
3: Why a different waveform than OFDM
3: PAPR benefits
2: OFDM vs. DFT-s-OFDM performance comparison
1: 3GPP decisions
2: Brief overview of RAN1 study item
2: Motivation for the waveform selections
2: Pros and cons of the agreeements
1: Overview of disruptive waveforms
2: Filter Bank Multicarrier
2: Generalized Frequency Division Multiplexing
2: Universal Filtered Multicarrier
2: Why have these been discarded?
1: OFDM enhancements
2: DFT-s-OFDM based solutions
3: Zero-Tail DFT-s-OFDM
3: Unique Word DFT-s-OFDM
3: Guard Period DFT-s-OFDM
3: Compatibility with OFDM/DFT-s-OFDM
2: Filtered OFDM
2: PAPR reduction
1: Open issues and opportunites
1. Wrap up
Primary Audience The tutorial is expected to attract a large audience of researchers and engineers working in the area of wireless systems design, but not necessarily on physical layer aspects. In particular, it is intended for those engineers that would like to improve their basic understanding on the physical layer design and challenges of current and future radio access technologies.
Novelty The tutorial is meant to be very novel since it will mainly stick the to current 3GPP decisions on the waveform design. Other tutorials given in the past were mainly focused on the clean-slate Filter Bank Multicarrier solutions rather than OFDM-compatible enhancements.
Biography Gilberto Berardinelli received his first and second level degrees in telecommunication engineering, cum laude, from the University of L’Aquila, Italy, in 2003 and 2005, respectively, and his PhD degree from Aalborg University, Denmark, in 2010. He also received a second level master in techniques and economics of telecommunications in 2006 from the University of Padova, Italy. In 2006 he worked with the Radio Frequency Engineering Department in Vodafone NV, Padova, Italy, where he studied the issues related to coverage of HSDPA services, and also radio propagation in urban and suburban environments. He is currently associate professor at the Wireless Communication Networks section at Aalborg University, Denmark. His research interests are focused on physical layer and radio resource management design for 5G systems, thus including multiple access schemes, waveforms, multi-antenna systems and scheduling, as well as on software defined radio prototyping He is author or co-author of more than 80 international publications, including conference proceedings, journal contributions and book chapters. He is also the recipient of the ICWMC 2015 best paper award.
Abstract—The demands on massive connectivity, large capacity and short latency for the next generation wireless communication networks (5G) drastically push the development of new type multiple access technology over the conventional orthogonal access technology. Recently, some new type non-orthogonal multiple access techniques such as sparse code multiple access (SCMA) proposed by Huawei, multiuser shared access (MUSA) proposed by ZTE and pattern division multiple access (PDMA) proposed by DTmobile have attracted lots of attention and have been looked as the potential 5G New Air Interface Technologies. In this tutorial, I will make an extensive introduction to the sparse code multiple access (SCMA) as a representative of non-orthogonal multiple access techniques, where I will majorly focus on the codebook and decoder design, capacity analysis, codebook assignment and power assignment. Meanwhile I will address some related problems such as grant free access, energy efficiency, and inter-cell interference mitigation for SCMA networks. By this tutorial, one can get full image of SCMA, the importance of SCMA, SCMA design and some open problems related to SCMA.
Introduce the new type 5G air interface technology to the community such that communication people knows the latest advancement of 5G network, the key performance indicator of 5G networks.
Introduce the new type non-orthogonal multiple access technology, i.e., the sparse code multiple access (SCMA) to the community. This SCMA performance better than the conventional non-orthogonal multiple access （NOMA）, which fully utilizes the power diversity and phase diversity of the users, while the conventional non-orthogonal multiple access only utilizes the power diversity of users. In addition, since the users' signature is sparse, the decoding complexity is much reduced.
Introduce latest advancement of SCMA to the communications community. People who are studying and working on wireless airinterface, non-orthogonal multiple access, LDPC coding and decoding, SCMA, LDS are interested in this topics. This tutorial will give a new idea to design non-orthogonal multiple access, and will give some idea to reduce the MPA decoding algorithm.
By this tutorial, we wish more people will realize the importance of SMCA and attract more people working in SCMA..
Key Performance Indicators of 5G
Background of New Type Non-orthogonal Multiple Access
SCMA Coding and decoding
Codebook Design for SCMA
Low complexity SCMA Decoder
SCMA Codebook Assignment
SCMA Power Allocation
Summary and Future Works
Primary Audience People who are studying or working in 5G networks, 5G airinterface technolgoy, nonorthogonal multiple access, massive connectivity for internet or things, low latency for internet of things, LDPC coding and decoding, are interested in this tutorial.
Novelty This tutorial introduces a new type air interface technolgoy of non-orthogonal multiple access, which fully use the power diversity and phase diversity of users' signals, while the conventional non-orthogonal multiple access only utilizes the power diversity of users. In additional, the each users' signature is sparse which reduces the decoding complexity.
Biography Wen Chen, a senior member of IEEE and CIE, a Professor of Electronic Engineering in Shanghai Jiao Tong University, China, where he is also the director of the Institute for Signal Processing and Systems. During 2014-2015, he was the dean of School of Electronic Engineering and Automation, Guilin University of Electronic Technology. Since 2016, he has been the chairman of Intellectual Property Corporation, Shanghai Jiao Tong University. His interests cover physical layer communications and cross layer design of communication systems, in which area, he has published 76 IEEE journal papers and more than 110 IEEE conference papers.
Professor Chen has made a tutorial in IEEE ICCC2016, Keynotes in IEEE APCC2016 and IEEE ICISIS2011. He has delivered invited talks for 25 times in various international conferences, workshops and universities (see wnt.sjtu.edu.cn). Prof. Chen has organized many IEEE sponsored conferences. He is the general chairs of HMWC2013, WiMob2011, ICIS2011-2009, ISISE2010-2008, WCNIS2010, the TPC chairs of WiMob2012, ICCT2012, ICCSC2008, and served many IEEE conferences as TPC members.
Prof. Chen received the InnovateAsia 5G Competition Award for contribution in sparse code multiple access in 2015, the WCSP2015 best paper award, and Shanghai outstanding thesis supervision award in 2015. He is selected as an outstanding member of Chinese Institute of Electronics in 2013 and received 3 best papers awards of Chinese Information Theory Society in 2013 and 2014. He is also selected as a Pujiang Excellent Scholars in Shanghai in 2007, a New Century Excellent Scholars in China in 2006, and awarded the Ariyama Memorial Award in 1997. He is an editor of IEEE TWC and an associate editor of IEEE Access.
Abstract—The fast development of smart phones and tablet devices has greatly stimulated the demand for wireless data services, leading to an impressive growth of the data traffic. Meanwhile, the networks, services, and devices will be more heterogeneous in 5G systems and the need to connect billions of devices to the networks will emerge. In this tutorial, we will first overview the main interference management techniques in 5G ultra-dense heterogeneous networks (HetNets) and discuss the major technical challenges. Then we will provide a new architecture for interference management based on interference map. The architecture is expected to meet the requirements of future 5G HetNets in terms of data rate, latency, cost, reliability, etc. In particular, the emphasis will be given to the advanced signal processing techniques, i.e., advanced sensing and localization, to build the interference map, where full-duplex radios are also considered. Finally, we will discuss the open problems and potential directions for 5G ultra-dense HetNets.
Objectives The main objective of this tutorial is to introduce the fundamental research and advances in 5G ultra-dense heterogeneous networks (HetNets) from the perspective of interference management. We will introduce the main technical challenges in 5G ultra-dense HetNets and discuss the advanced sensing and localization techniques that are essential to address these challenges. Through the effective use of these techniques, a new architecture can be built in 5G ultra-dense HetNets, which is expected to meet the requirements of 5G NetNets in terms of data rate, latency, cost, reliability, etc. We will also provide some most recent research outcomes on these techniques.
Part 1 Introduction (0.5 hour)
1. Overview of interference management in 5G HetNets
2. Challenges in 5G ultra-dense HetNets
Part 2 Advanced sensing techniques for interference management (1.5 hour)
2. Location-aware spectrum sensing
3. Jamming-based probing
4. Full-duplex-assisted probing
Part 3 Advanced localization techniques for interference management (0.75 hour)
2. Passive localization
3. Full-duplex-assisted localization
Part 4 Conclusion (0.25 hours)
1. Open problems
2. Future directions
Primary Audience The tutorial is intended for the generally knowledgeable individual working in the field of wireless communications and networking with some background in probability theory and signal processing. The intended audience includes young researchers and faculty, graduate students, and system engineers.
Novelty This tutorial covers not only the current research and development on 5G HetNets, but also the latest signal processing techniques, i.e., advanced sensing and localization techniques. These enable new architectures to solve the interference management issue in 5G ultra-dense HetNets. In addition, we provide comprehensive discussions on the challenges and open research issues in this area, based on the authors’ recent research results.
Biography Guodong Zhao received his Ph.D. Degree from Beihang University, Beijing, China in 2011. He visited Georgia Institute of Technology, Atlanta, GA, USA, in 2007-2008 and Hong Kong University of Science and Technology (HKUST), Hong Kong, in 2012-2013. Since 2011, he has been with University of Electronic Science and Technology of China (UESTC), where he is currently an Associate Professor. His research interests are within the areas of wireless communications and signal processing. He published over 30 papers in IEEE journals and conferences. In 2012, he received the best paper award from IEEE Global Telecommunication Conference (Globecom) and the best Ph.D. thesis award from Beihang University.
Xiangwei Zhou received his Ph.D. degree in Electrical and Computer Engineering from Georgia Institute of Technology in 2011. Since August 2015, Dr. Zhou has been with the Division of Electrical and Computer Engineering at Louisiana State University as an Assistant Professor. His general research interests include wireless communications, statistical signal processing, and cross-layer optimization. He is the ECE Outstanding Teacher of Year 2014 at Southern Illinois University Carbondale and a recipient of the best paper award at the 2014 International Conference on Wireless Communications and Signal Processing. Dr. Zhou is currently serving on the editorial board of IEEE Transactions on Wireless Communications.
Wei Zhang is a Fellow of the IEEE and an IEEE Communications Society Distinguished Lecturer. He serves as the Editor-in-Chief of the IEEE Wireless Communications Letters. He is also an Editor for the IEEE Transactions on Communications, and the IEEE Transactions on cognitive communications and networking. He is a Vice Director of the IEEE ComSoc Asia Pacific Board. He has served as the Secretary for the IEEE Wireless Communications Technical Committee. Currently, he is an Associate Professor with the University of New South Wales, Sydney, Australia.
Abstract—We present an overview of the state-of-the-art Vehicular Networking technologies, ranging from communications, networking, applications, to security and privacy. We will discuss technical details in the design of vehicular networking architectures and protocol suites, including LTE, IEEE 802.11p and IEEE 1609.6. The interactions and cooperation between LTE and 802.11p to support vehicular applications will also be examined.
We will investigate the performance analysis of vehicular networks with Markov chain, mobility, and channel models. We will reveal the challenges and future research directions of vehicular networks with the advent of 5G and autonomous vehicles.
Objectives - learn the technical details in the design of vehicular networking architectures and protocol suites, including LTE, IEEE 802.11p and IEEE 1609.6.
- study methodologies in the performance analysis of vehicular networks with Markov chain, mobility, and channel models.
- understand the challenges and future research directions of vehicular networks with the advent of 5G and autonomous vehicles.
1. Intelligent Transport Systems
2. Vehicular Networking Applications and Requirements
3. Vehicular Networking Standards:
b. IEEE 1609 WAVE
c. IEEE 802.11p
d. LTE for vehicular networks
4. ITS project activities around the world
5. Vehicular Networking architecture and protocol designs
a. Physical layer
b. MAC layer Markov analysis
c. Network layer routing and topology control
d. Vehicular Networking security
6. Vehicular Networking challenges and opportunities
Primary Audience Researchers, engineers, and students working on Vehicular Networking research and development.
Novelty - The interactions and cooperation between LTE and 802.11p to support vehicular applications will also be examined.
- We will investigate the performance analysis of vehicular networks with Markov chain, mobility, and channel models.
- We will reveal the challenges and future research directions of vehicular networks with the advent of 5G and autonomous vehicles.
Biography Ren Ping Liu is a Professor at School of Computing and Communications in University of Technology Sydney, where he leads Network Security Lab in the Global Big Data Technologies Centre. Prior to that he was a Principal Scientist at CSIRO, where he led wireless networking research activities. He specialises in protocol design and modelling, and has delivered networking solutions to a number of government agencies and industry customers. Professor Liu was the winner of Australian Engineering Innovation Award and CSIRO Chairman’s medal. His research interests include Markov analysis and QoS scheduling of wireless networks. Professor Liu has over 100 research publications, and has supervised over 30 PhD students.
Professor Liu is the founding chair of IEEE NSW VTS Chapter and a Senior Member of IEEE. He served as TPC chair for BodyNets2015, ISCIT2015, WPMC2014, as OC co-chair for VTC2017-Spring, BodyNets2014, ICUWB2013, ISCIT2012, SenSys2007, and in Technical Program Committee in a number of IEEE Conferences. Ren Ping Liu received his B.E.(Hon) and M.E. degrees from Beijing University of Posts and Telecommunications, China, and the Ph.D. degree from the University of Newcastle, Australia.
Abstract—As Connected Vehicle (CV) systems become a reality, researchers need to evaluate the compute and network resources required to provide the optimal latency, bandwidth and processing for safety, mobility, environmental, and energy applications envisioned for these systems. This tutorial introduces protocols, system architectures, and edge cloud platforms in the context of Software Defined Network (SDN)-controlled heterogeneous wireless networks supporting CV systems. We leverage programmable experimental infrastructure provided by the Global Environment for Network Innovations (GENI) testbed, where a CV platform integrated with GENI Edge cloud Wireless infrastructure, located at Clemson University, is used for demonstration and hands-on learning activities.
We present results from running multiple CV applications, including Queue Warning and Collision Avoidance, using Multi-RAT systems, dynamic network slices and programmable edge clouds. We present a comprehensive analysis of these experiments using statistical learning theory and motivate future multi-disciplinary research problems in these technical areas.
We will also briefly highlight the usage of the GENI testbed for attendees who want to use this resource outside of the tutorial for CV and other applications.
Objectives Provide an overview of Connected Vehicular systems appropriate for the tutorial.
Critical analysis of optimal CV application processing in edge cloud environment. Should we place application processing in cloud, network or end device ?
Application of Statistical Learning theory to CV applications in a real world deployment.
Learn to leverage Openflow SDN controller for network management of CV applications on Multi-RAT (4GLTE+ DSRC) devices.
Learn How to orchestrate GENI edge cloud computing platform for CV applications.
1: Introduction to Connected Vehicle Systems
2: GENI Infrastructure
2.1 Clemson University campus deployment
2.2 GENI experimenter terms and definitions
3: Edge cloud paradigm for vehicular applications
3.1 Network Architecture of Edge Cloud topology
3.2 Statistical Learning Theory for Connected Vehicles
3.3 DSRC + LTE SDN Network Management
4. Analysis of CV applications
4.2 Results from multiple CV applications
4.3 Analysis of Results
Primary Audience Academic researchers, students and industry participants audience who want to extend simulation analysis to learn application of SDN techniques for Multi-RAT network management for CV applications in a real world edge cloud deployment.
Novelty Mobile Edge computing is a novel technology that has been suggested for Connected Vehicle systems.This tutorial evaluates CV applications using a programmable cloud connected to Multi-RAT mobile edge and SDN enabled end devices.
The applications and data presented are NOT simulated but deployed on actual equipment, which allows attendees to learn application of statistical learning theory to high fidelity real data.
Biography Abhimanyu Gosain is a Network Scientist at Raytheon BBN Technologies and IEEE Senior Member. He is the lead wireless system engineer for the NSF GENI project and co-principal investigator for the NSF Orbit LTE project. His current research focus is on applying software defined networking techniques to mobile edge computing platforms. Abhimanyu received his M.Sc. degree in Electrical Engineering from Tufts University in 2007 and Masters in Business Administration (MBA) at Boston University.
Dr. Chowdhury is the Eugene Douglas Mays Professor of Transportation in the Glenn Department of Civil Engineering, a professor in the Glenn Department of Civil Engineering, and in the Department of Automotive Engineering, Co-Director of Complex Systems Analytics and Visualization Institute (CSAVI) and Director of the Intelligent Transportation System laboratory at Clemson University. Dr. Chowdhury served in the industry as a senior ITS engineer for BMI and Iteris, Inc. in Virginia before joining the academia. Dr. Chowdhury has published two textbooks and four book chapters on ITS, and in over 70 peer-reviewed journal and 40 peer reviewed conference proceedings.
Dr. Jim Martin is an Associate Professor in the School of Computing at Clemson University. His research interests include broadband access, wireless networks, Internet protocols, and network performance analysis. Current research projects include heterogeneous wireless systems and DOCSIS 3.x cable access networks. He has received funding from NSF, NASA, the Department of Justice, BMW, CableLabs, Cisco, Comcast, Cox, Huawei, and IBM. Dr. Martin is leading an effort at Clemson University that is deploying advanced network infrastructure to support vehicular wireless communications. Dr Martin received his Ph.D. from North Carolina State University. Prior to joining Clemson, Dr. Martin was a consultant for Gartner, and prior to that, a software engineer for IBM.
Abstract—This half-day tutorial focuses on understanding and tackling non-ideal transceivers for information transmission in future wireless communications. In a number of important emerging scenarios like millimeter-wave and large-scale antenna arrays, non-ideal transceivers due to hardware imperfections and design constraints play a bottleneck role for efficient information transmission. This tutorial provides an extensive overview on the modeling and analysis of representative non-ideal transceivers, and explains in detail a general information-theoretic framework, developed recently by the presenter and his coworkers, for understanding the impact of non-ideal transceivers and for tackling the corresponding transceiver design challenges. A series of case studies on practically relevant scenarios demonstrate the application of the general framework.
Objectives With the rapid progress towards the next-generation wireless communication system, non-ideal transceivers become a bottleneck for meeting the demanding performance goals. This issue is particularly pertinent these days since emerging scenarios such as millimeter-wave and massive MIMO are facing significant challenges from hardware imperfections and design constraints, and therefore are stretching to the limit where non-ideal characteristics of transceivers are no longer negligible or tolerable (see, e.g.,  ). The popular approaches of linearization, which essentially approximate the non-ideal characteristics as an additive disturbance, have been extensively used, but are heuristic in nature without a sound information-theoretic footing. The objective of this tutorial therefore is to develop a general information-theoretic framework for understanding and tackling non-ideal transceivers. This framework is general in that it does not rely upon specific non-ideal characteristics, and that it provides a coherent understanding of existing approaches. The proposed approach is based upon the theory of mismatched decoding in information theory (see, e.g., ), and is thus of clear operational meaning, in the sense that the resulting performance is achievable using known encoding/decoding methods. From the tutorial, the audience will have a clear overview of representative non-ideal transceivers, understand how to design and optimize transmission schemes with them, and see the application of the developed framework to a number of important use cases including massive MIMO, millimeter-wave, and other systems.
 J. Singh, O. Dabeer, and U. Madhow, “On the limits of communication with low-precision analog-to-digital conversion at the receiver,” IEEE Trans. Communications, 57(12), 3629-3639, 2009.
 E. Bjornson et al, “Massive MIMO systems with non-ideal hardware: energy efficiency, estimation, and capacity limits,” IEEE Trans. Information Theory, 60(11), 7112-7139, 2014.
 W. Zhang, “A general framework for transmission with transceiver distortion and some applications,” IEEE Trans. Communications, 60(2), 384-399, 2012.
The motivation from applications like millimeter-wave and massive MIMO; the motivation from theory of gaining fundamental insights into channels with nonlinear effects.
2: Overview of tutorial
Main structure of tutorial; key findings in a nutshell.
2: Representative non-ideal characteristics
A brief introduction of transceiver non-ideal effects including amplifier nonlinearity, quantization/discretization, phase noise, I/Q imbalance, and so on.
2: Bussgang’s theorem
A classical theorem due to J. Bussgang for memoryless nonlinear transforms, enabling a linearization of nonlinear I/O relationship.
2: Existing approaches based on additive disturbance approximation
A popular approach based on Bussgang’s theorem, collectively dumping all non-ideal characteristics into an additive disturbance term of the channel I/O relationship. The so-called additive quantization noise model (AQNM) is such an instance and has been widely applied in the literature.
2: Introduction to mismatched decoding
Mismatched decoding is a powerful information-theoretic tool for analyzing and designing communication systems where the decoding metric is deviated from the channel characteristics. When transmission takes place over channels with non-ideal characteristics, transceivers are usually designed on a mismatched basis. The theory of mismatched decoding will serve as the foundation for developing the general framework.
1: A general framework
2: An analysis based on generalized mutual information
The performance metric of generalized mutual information (GMI) is utilized to provide a general closed-form formula of achievable information rates of channels with non-ideal characteristics.
2: A canonical channel decomposition
The general framework is further explored by drawing connection with the concept of correlation coefficient of A. Renyi. This analysis establishes a canonical decomposition of the channel I/O relationship.
2: Relationship with existing approaches
The proposed approach is contrasted with existing approaches that are based on additive disturbance approximation. An information-theoretic interpretation of Bussgang’s theorem is provided, and furthermore the gap between existing approaches and the proposed approach is identified.
Channels with memory, and multiple-input-multiple-output channels.
1: Case studies
2: Channels with low-resolution ADC
Low-resolution ADC such as one-bit ADC is a highly nonlinear effect upon the channel. The impact of such effect is studied by applying the general framework.
2: Channels with oversampled outputs
Channels with nonlinear I/O relationship has its output bandwidth expanded beyond the signaling bandwidth, and therefore oversampling is potentially beneficial in terms of achievable rates. This fact has been first observed by E. Gilbert and S. Shamai, and here it is further addressed by applying the general framework.
2: Mixed-ADC for massive MIMO uplink
The general framework is applied to study a novel receiver architecture for massive MIMO uplink, where ADCs of possibly different resolutions are connected to different receive antennas. Both frequency-flat and frequency-selective fading channels are addressed, for multiuser access. Both spectral efficiency and energy efficiency, along with their tradeoff, are studied.
2: Hybrid beamforming
Hybrid beamforming for millimeter-wave MIMO under non-ideal channel characteristics is studied by applying the general framework. Algorithms for solving the optimal beam-formers are established.
2: Summary of key points
Reiterate the key take-away messages.
2: A sample of open issues
List a sample of open issues for future research.
Primary Audience In view of the introduction above, this tutorial is timely in that it is particularly relevant to emerging scenarios such as millimeter-wave and massive MIMO. It is expected that this tutorial will be of interest for researchers and practitioners working on transceiver design in both academia and industry.
Novelty In view of the introduction above, this tutorial is novel in that it provides a solid theoretic footing for a variety of ad hoc treatments of non-ideal transceivers, and sheds insight on how the transceivers can be systematically designed and optimized. These are new and relevant results for transceiver implementation in future generation wireless systems, and have not been addressed at this depth before.
Biography The presenter Wenyi Zhang is a professor at the University of Science and Technology of China. He attended Tsinghua University and obtained his Bachelor's degree in Automation in 2001. He studied at the University of Notre Dame, Indiana, USA, and obtained his Master's and Ph.D. degrees, both in Electrical Engineering, in 2003 and 2006, respectively. His PhD advisor was Professor J. Nicholas Laneman, and his PhD dissertation was on information-theoretic analysis of non-coherent fading channels. Prior to joining the faculty of the University of Science and Technology of China, he was affiliated with the Communication Science Institute, University of Southern California, as a postdoctoral research associate with Professor Urbashi Mitra, and with Qualcomm Incorporated, Corporate Research and Development. Dr. Zhang has served on the editorial board of the IEEE Communications Letters. His research interests include information theory and its applications in wireless communications, and statistical signal processing with an emphasis on detection theory. Dr. Zhang is an IEEE Communications Society Asia-Pacific Outstanding Young Researcher Awardee, and was selected to participate at the U.S. National Academy of Engineering China-America Frontiers of Engineering Symposium in 2011. For additional information, please refer to http://staff.ustc.edu.cn/~wenyizha/
Abstract—Autonomous (or unmanned) vehicles (AVs) merge as one major paradigm shift of the industry and human society, while introducing much more challenging in wireless networks beyond the connected vehicles. After the technology for single intelligent vehicle becoming mature, the real challenge comes from reliable, safe, real-time operation of autonomous vehicles in massive scale. To achieve such multi-scale control, effective cloud computing, edge computing, and on-board computing, functions in real-time to interact with environments and other agents like vehicles and individuals. Low-latency networking in the order of milliseconds is inevitably wanted to ensure successful computing and control in this most challenging Internet of Things. Considering Omni reliability and safety, various networking technologies would be needed. This tutorial will present key aspects of wireless infrastructure of heterogeneous networks and non-orthogonal multiple access (NOMA), 5G cellular (R14 and potential R15), network function virtualization (NFV) of network resources, multi-hop networking for vehicles, secure and resilient networking, and sensor networks, toward the facilitation of low-latency networking and information exchange to enable real-time decisions/actions and control, and thus the successful deployment of AVs in massive scale.
Objectives Massive operation of autonomous vehicles requires low-latency networking to enable complicated cloud computing for management and control, edge computing for real-time control and information exchange, and on-board computing for each AV’s smooth and safe maneuvering based on collected information. This tutorial wishes to achieve the multi-fold goal to let audience
(1) understand the important role of low-latency networking in this complicated IoT that requires reliability and safety
(2) comprehend existing/developing wireless networking technology to assist the operation of connected vehicles and AVs
(3) be familiar with innovative network architecture and novel implementation to satisfy low-latency and then to accomplish the ultimate goal of massive AVs’, autonomous real-time actions for AVs in a reliable and safe way.
1: (I) The rise of autonomous driving and the need of low-latency networking
2: Due to the advance of computer vision and artificial intelligence, autonomous driving becomes realistic and single autonomous (driving) vehicle (AV) has been tested on roads for years, while wireless networking appears to play the role to assist AV’s reliable operation by information supplying and exchange. However, the wide deployment of AVs into cities, interaction of multiple AVs creates a new challenge in safe and reliable control and management of such huge fleet of AVs. We will show the critical role and requirements of wireless networking in this multi-scale control scenario, as the beginning of this tutorial.
1: (II) Dedicated V2I vehicular networks for Connected Vehicles
2: Wireless networking like dedicated short-range communications (DRSC) and IEEE 802.11 family standards facilitates information exchange between road-side units and on-board units.
1: (III) 5G cellular networks for Connected Vehicles
2: State-of-the-art wireless networks, 3GPP R14, supplying in-time information to vehicles to assist human driving in a more comfortable and safe way will be introduced.
1: (IV) V2V Networks
2: For many real-time safety concerns, inter-vehicle multi-hop networking that does not require infrastructure will be presented to resolve technological challenges in ad hoc networking in high dynamic operating environments.
1: (V) Technology revolution of low-latency cellular networks
2: Beyond the satisfaction of connected vehicles using existing LTE-A and DSRC, 5G and beyond cellular networks, R4/R15 and 5GAA shall play the critical role to supply low-latency networking in massive scale, from engineering and economic considerations. Innovative heterogeneous network architecture matched to computing architecture to strike balance in cloud computing and edge computing shall be explored in detail as a new paradigm of radio access networks and core networks in mobile communication networks. Self-organizing distributed network realization of flexibility and resilience requiring further novel and simplified SDN/NFV will be introduced.
1: (VI) Vehicular Networking over Unlicensed Spectrum
1: (VII) Security in vehicular networks
Primary Audience Researchers, graduate students, and practice engineers in intelligent transportation, AVs, wireless networks, mobile communication systems, and professionals in vehicular transportation industrial and wireless industry. General IoT professionals who want to understand the role of networking in massive AVs shall be potential audience.
Novelty Although autonomous vehicles have attracted tremendous industrial attention, the critical role of low-latency wireless networking to ensure safety and reliability of massive operation has been overlooked in many cases. Only some scattering research could be found. This newly developed tutorial presents a breaking-through aspect for wireless and vehicular technology, as a unique and important subject for IEEE VTC audience.
Biography Kwang-Cheng Chen received the B.S. from the National Taiwan University in 1983, and the M.S. and Ph.D from the University of Maryland, College Park, United States, in 1987 and 1989, all in electrical engineering. From 1987 to 1998, Dr. Chen worked with SSE, COMSAT, IBM Thomas J. Watson Research Center, and National Tsing Hua University, in mobile communications and networks. During 1998-2016, he was with National Taiwan University, Taipei, Taiwan, as the Distinguished Professor in the College of Electrical Engineering and Computer Science, National Taiwan University. Since 2016, Dr. Chen is a Professor at the Department of Electrical Engineering, University of South Florida, Tampa, USA. Dr. Chen founded a wireless IC design company in 2001, which was acquired in 2004. He has been actively involving in the organization of various IEEE conferences as General/TPC chair/co-chair (2002 IEEE Globecom, 2010 IEEE VTC-Spring, and 2020 IEEE Globecom), serving editorships with a few IEEE journals, and various IEEE volunteer services with IEEE Fellow Committee, IEEE VTS Fellow Evaluation Committee, IEEE VTS Distinguished Lecturer, etc. He founds and chairs the Technical Committee on Social Networks in the IEEE Communications Society. Dr. Chen also has contributed essential technology to various international standards like IEEE 802 wireless LANs, Bluetooth, LTE and LTE-A. He has authored and co-authored near 300 IEEE papers and more than 22 granted US patents. He co-edited (with R. DeMarca) the book Mobile WiMAX published by Wiley, and authored the book Principles of Communications published by River, and co-authored (with R. Prasad) another book Cognitive Radio Networks published by Wiley. Dr. Chen is an IEEE Fellow and has received a number of awards including 2011 IEEE COMSOC WTC Recognition Award, 2014 IEEE Jack Neubauer Memorial Award, 2014 IEEE COMSOC AP Outstanding Paper Award. Dr. Chen’s current research interests include IoT, social networks and data analytics, and cybersecurity.
Abstract—Next-generation (5G) wireless systems are characterized by heterogeneity, dynamics and size, in terms of technology, services, rapidly varying environments and uncertainty. The need for smart, secure, and autonomic network design has become a central research issue in varieties of applications and scenarios. 5G systems are expected to provide the society with full connection, which can break through the limitations of time and space to create all-dimensional, user-centered or service-centric interconnections between people and things. Heterogeneous Ultra Dense Network (HUDNs) shave emerged as a new paradigm to potentially improve spatial reuse and coverage in 5G networks, achieving higher data rates, while retaining seamless connectivity and mobility. However, HUDNs also come with their own challenges and issues, including system architecture, deployment, radio resource management, and interference mitigation.
This tutorial will identify and discuss technical challenges and recent research results related to the HUDNs in 5G mobile networks. The tutorial is mainly divided into four parts. In the first part, we will introduce HUDNs, discuss about the HUDNs system architecture, and provide some main technical challenges. In the second part, we will focus on the issue of resource management in HUDNs and provide different recent research findings that help us to develop engineering insights. In the third part, we will address the signal processing and PHY layer design of HUDNs and address some key research problems. In the last part, we will summarize by providing a future outlook of HUDNs.
Objectives The main learning objective of this tutorial is to introduce Heterogeneous Ultra Dense Network (HUDNs) and open exciting research advances to academic and industrial researchers. The tutorial give a comprehensive and balanced coverage of recent research on the multidimensional topic of HUDNs in 5G mobile network including architecture, mobility management, interference management and future outlook. And this tutorial also introduces a wide range of issues, application scenarios and open challenges related to HUDNs. All topics are planned in order to improve both spectral efficiency and energy efficiency, retain the seamless connectivity and mobility of cellular networks. And therefore, this tutorial achieves high data rates and high quality. The expected benefits and features of the proposed tutorial are:
The tutorial will briefly present the evolutions of mobile communication technology including SON, C-RAN/F-RAN, LTE-U, SWIPT, HUDNs and analyze 5G key capabilities. And the tutorial will introduce the basic features and definitions, challenges, and state of the art of HUDNs in 5G mobile network.
The tutorial will point out recent results and open exciting research topics in HUDNs to develop engineering insights.
The tutorial will present the system architecture related to the HUDNs in 5G mobile network. The key concepts include fronthaul, cloud computing, heterogeneous networks and performance metrics. The tutorial will discuss and compare mmWave, unlicensed spectrum, optical fiber and free space optical techniques for fronthauling in 5G HUDNs. And the tutorial will also introduce the SON in HUDNs including self-configuration, self-optimization and self-healing in disaster scenario.
The tutorial will present resource management in HUDNs detailed in different scenarios such as cognitive small cell networks, spectrum-sharing OFDMA femtocell, OFDMA two-way relay wireless sensor network and cognitive femtocell networks. And the tutorial will provide problem formulations and corresponding algorithms to solve the resource allocation problems, respectively.
The tutorial will provide a new paradigm through suppressing inter-tier interference and enhancing the cooperative processing capabilities in the practical evolution of HUDNs in 5G mobile network. The tutorial will comprehensively present and discuss the interference management of HUDNs in multiple scenarios including cognitive heterogeneous macro/femto network, coexistence of Wi-Fi and HUDNs with LTE-U and heterogeneous cloud small cell networks. And the tutorial will provide interference management algorithms in different scenarios to improve spectrum efficiency in 5G mobile network.
The tutorial will provide future outlook of HUDNs. And the tutorial will briefly discuss system architectures, mobility management, resource allocation and open issues in fog computing-enabled UDN and network slicing based UDN.
The tutorial will provide an opportunity to improve the awareness of the principles, key technologies, research challenges, and applications in HUDNs.
Part I: Overview of HUDNs and System Architecture
• RAN Evolutions: Brief introduction of HUDNs, SON, C-RANs, LTE-U and their potential evolution.
• Introduction o f HUDNs: Basic features and definitions, challenges, and state of the art.
• System architecture: Fronthaul, Fog/cloud computing, heterogeneous networks, performance metrics
Part II: Resource Management in HUDNs
• Resource Allocation : A cooperative bargaining game theoretic approach
• Resource allocation with heterogeneous services
• Optimal pricing strategy for operators
• Pricing game for time mute in femto-macro co-existent networks
• Resource allocation with SWIPT
Part III: Interference Management in HUDNs
• Interference-limited resource optimization with fairness and imperfect spectrum sensing
• Coexistence of Wi-Fi and HUDNs with LTE-U
• Cooperative interference mitigation and handover management
• Incomplete CSI based resource optimization in SWIPT
Part IV: Outlook of HUDNs
• Evolution of HUDNs: Future research challenges
Primary Audience The tutorial is intended for the generally knowledgeable individual working in the field of wireless communications and networking with some background in convex optimization and game theory. It is also suitable for students and researchers who are interested to learn about heterogeneous networks, small cells, LTE-U, C-RAN, UDN, SWIPT, and 5G.
Novelty Different from tutorials in existing conferences, we focus on the heterogeneous ultra dense networks (UDN) in 5G with the consideration of Small Cells, LTE-U, Network Slicing, SWIPT, SON, Fog-RAN/Cloud-RAN. The advanced 5G techniques, such as cognitive radio, millimeter-wave communications, and the unlicensed spectrum all have been combined into HUDNs. We investigate the resource allocation, interference mitigation and handover management for HUDNs with consideration of fairness, security, cotier/ cross-tier interference, cooperative interference, Quality of Service (QoS) requirements, and spectrum sensing errors.
Biography Haijun Zhang is currently a Full Professor in University of Science and Technology Beijing, China. He was a Postdoctoral Research Fellow in the University of British Columbia (UBC), Vancouver, Canada. He received his Ph.D. degree in Beijing University of Posts Telecommunications (BUPT). From September 2011 to September 2012, he visited Centre for Telecommunications Research, King's College London, London, UK, as a Visiting Research Associate. Dr. Zhang has published more than 80 papers and authored 2 books. He serves as editor of 5 Journals and guest editors of IEEE Communications Magazine, MONET, etc. He serves/ served as General Co-Chair of GameNets'16 and 5GWN 2017, Workshop Co-Chair of ICC 2017 5G UDN, Symposium Chair of the GameNets'14 and Track Chair of ScalCom2015.
Chunxiao Jiang is an assistant research fellow in Tsinghua Space Center, Tsinghua University. He received the Ph.D. degree in electronic engineering from Tsinghua University, Beijing in 2013, both with the highest honors. During 2011-2014, he visited University of Maryland, College Park. He has authored/co-authored 100+ technical papers in renowned international journals and conferences, including 45+ renowned IEEE journal papers. He is currently an Editor for the WILEY WIRELESS COMMUNICATIONS AND MOBILE COMPUTING, etc. He was the recipient of the Best Paper Award from IEEE GLOBECOM in 2013, the Best Student Paper Award from IEEE GlobalSIP in 2015. He is a senior member of IEEE ComSoc.
Derrick Wing Kwan Ng received his Ph.D. degree from the University of British Columbia (UBC) in 2012. He was a senior postdoctoral fellow at University of Erlangen-Nuremberg, Germany. He is now working as a Lecturer at the University of New South Wales, Sydney, Australia. Dr. Ng has published more than 80 journal and conference papers and his publications have been cited over 2000 times in Google Scholar with an h-index of 20. Dr. Ng is currently an Editor of the IEEE Communications Letters and the IEEE Transactions on Green Communications and Networking. He served as a Track Co-Chair VTC2014 and 2016 IEEE GlobeCom Workshop on Wireless Energy Harvesting. He was also a guest editor of EURASIP JWCN in 2014.
Abstract—Terahertz (THz)-band (0.1-10 THz) communication is envisioned as a key wireless technology of the next decade. The THz band will help overcome the spectrum scarcity problems and capacity limitations of current wireless networks, by providing an unprecedentedly large bandwidth. In addition, THz-band communication will enable a plethora of long-awaited applications, both at the nano-scale and at the macro-scale, ranging from wireless massive-core computing architectures and instantaneous data transfer among non-invasive nano-devices, to ultra-high-definition content streaming among mobile devices and wireless high-bandwidth secure communications.
In this tutorial, an in-depth view of THz-band communications will be provided. First, the state of the art and open challenges in the design and development of THz communication devices will be presented, including THz sources and detectors, modulators and demodulators, antennas and antenna arrays. A special emphasis will be given to the utilization of novel materials, such as graphene, to develop compact solid-state devices for THz communications. Then, the current progress and open research directions in terms of THz-band channel modeling will be presented. The main phenomena affecting the propagation of THz signals will be explained. Finally, novel communication mechanisms such as the modulation techniques, resource allocation, timing acquisition schemes, and Ultra-Massive Multiple-Input Multiple-Output will be presented. This tutorial will provide the audience with the necessary knowledge to work in a cutting-edge research field, at the intersection of nanotechnologies, antennas and propagation, and information and communication technologies.
Objectives The objective of this course is to provide the audience with the necessary knowledge and tools to contribute to the development of wireless communication networks in the THz band. THz technology has been recently identified by DARPA as “one of the four major research areas that could eventually have an impact on our society larger than that of the Internet itself”. The THz band opens the door to a plethora of applications in very diverse domains, ranging from Terabit Wireless Personal and Local Area Networks to wireless nanosensor networks or the Internet of Nano-Things. In this context, the development of a new communication and networking technology to support networks with “billions of connected nanosystems” has been recently identified as “one of the four essential components of the next IT revolution” by the Semiconductor Research Consortium and the US National Science Foundation.
Nonetheless, the THz band, which lies in between mm-waves and the far infrared, remains still one of the least explored regions in the EM spectrum. For many decades, the lack of compact high-power signal sources and high-sensitivity detectors able to work at room temperature has hampered the use of the THz band for any application beyond sensing. However, many recent advancements with different technologies is finally closing the so-called THz gap.
THz-band communication brings many new opportunities to the wireless communication community. The THz band supports huge transmission bandwidths, which range from almost 10 THz for distances below one meter, to multiple transmission windows, each tens to hundreds of GHz wide, for distances in the order of a few tens of meters. Nevertheless, this very large bandwidth comes at the cost of a very high propagation loss, mainly because of molecular absorption, which also creates a unique distance dependence on the available bandwidth. All these introduce many challenges to practical THz communication systems and require the development of innovative solutions. Moreover, many of these might be helpful for broadband wireless communication systems below and above the THz band, i.e., mm-waves and optical wireless communications, respectively.
Through this tutorial, the audience will learn the necessary knowledge to work in the cutting-edge research field of THz band communications. The state-of-the-art technologies, the open challenges, and possible research directions in the following three aspects are covered in this tutorial. First, THz-band devices will be surveyed, including THz-band transceivers, broadband antennas and dynamic antenna arrays. Second, existing THz-band channel models, including line-of-sight channel, multi-path channel and three-dimensional channel, will be described. The open research challenges of the Ultra-Massive Multiple-Input Multiple-Output (UM-MIMO) channel and the time-varying channel will be introduced. Third, novel communication mechanisms such as the pulse-based modulation, multi-wideband modulation, distance-aware resource allocation, low-sampling-rate timing acquisition, and UM-MIMO adaptive systems will be presented.
1. Introduction and Applications of THz-band Communication Networks (0.5 hour)
2. THz Device Technologies (1 hour)
a. Overview of Existing Technologies for THz-band Devices
b. Graphene-based Plasmonic Devices for THz-band Communications
i. Signal sources/detectors
ii. Signal modulators/demodulators
iii. Antennas and Antenna Arrays
3. THz Communication (1.5 hour)
a. THz-band Channel Modeling
i. Fundamentals: Spreading Loss, Absorption Loss, Scattering Loss
ii. Multi-path Channel Modeling
iii. Three-dimensional End-to-end Modeling
b. Physical Layer Design:
i. Ultra-broadband Modulations
ii. Resource Allocation
iii. Physical-layer Synchronization
iv. Ultra-massive MIMO
Primary Audience Targeted audience includes but is not limited to academic researchers in the field of 5G, millimeter waves, optical wireless communications, as well as inter-disciplinary areas of nanotechnologies, antennas and propagation, and material science. Also, this tutorial is expected to attract audience from the funding agencies, industrial partners, and standardization group, who have strong interests in future-generation wireless systems.
Novelty The way in which today’s society creates, shares and consumes information has resulted in an unprecedented increase in the total number of interconnected devices as well as in the data rates at which these devices transmit information. As millimeter wave communication becomes an industry standard, there is a need to explore new wireless technologies beyond 300 GHz. Thanks to major breakthroughs in novel THz devices, it is now the right time for the wireless communication community to enter the field.
Biography Chong Han is currently an Assistant Professor with the University of Michigan–Shanghai Jiao Tong University Joint Institute, Shanghai Jiao Tong University, Shanghai 200240, China, since June 2016. He received the Bachelor of Engineering degree in Electrical Engineering and Telecommunications from The University of New South Wales (UNSW), Sydney, Australia, in 2011. He obtained the Master of Science and the Ph.D. degrees in Electrical and Computer Engineering from Georgia Institute of Technology, Atlanta, GA, USA, in 2012 and 2016, respectively. His current research interests include Terahertz Band Communication Networks, Electromagnetic Nanonetworks, 5G Cellular Networks, Graphene-enabled Wireless Communications. He is a member of the IEEE.
Josep Miquel Jornet is an Assistant Professor with the Department of Electrical Engineering at the University at Buffalo (UB), The State University of New York, since August 2013. He received the B.S. in Telecommunication Engineering and the M.Sc. in Information and Communication Technologies from the Universitat Politècnica de Catalunya (UPC), Barcelona, Spain, in 2008. He received the Ph.D. degree in Electrical and Computer Engineering from the Georgia Institute of Technology (Georgia Tech), Atlanta, GA, in August 2013, with a fellowship from “la Caixa” (2009-2010) and Fundación Caja Madrid (2011-2012). From September 2007 to December 2008, he was a visiting researcher at the Massachusetts Institute of Technology (MIT), Cambridge, under the MIT Sea Grant program. His current research interests are in Terahertz-band communication networks, Nano-photonic wireless communication, Graphene-enabled wireless communication, Electromagnetic nanonetworks, Intra-body Wireless Nanosensor Networks and the Internet of Nano-Things. He is the Editor-in-Chief for Elsevier’s Nano Communication Networks (Journal). He is an IEEE and ACM member.
Abstract—This tutorial is aimed to provide a comprehensive crash course on the critical and essential importance of spatial models for an accurate system-level analysis and optimization of emerging 5G ultra-dense and heterogeneous cellular networks. Due to the increased heterogeneity and deployment density, new flexible and scalable approaches for modeling, simulating, analyzing and optimizing cellular networks are needed. Recently, a new approach has been proposed: it is based on the theory of point processes and it leverages tools from stochastic geometry for tractable system-level modeling, performance evaluation and optimization. The potential of stochastic geometry for modeling and analyzing cellular networks will be investigated for application to several emerging case studies, including massive MIMO, mmWave communication, and wireless power transfer. In addition, the accuracy of this emerging abstraction for modeling cellular networks will be experimentally validated by using base station locations and building footprints from two publicly available databases in the United Kingdom (OFCOM and Ordnance Survey). This topic is highly relevant to the attendees of IEEE VTC, who are highly interested in understanding the potential of a variety of candidate communication technologies for 5G networks.
Objectives 5G is coming. Quo vadis 5G? What architectures, network topologies and technologies will define 5G? Are methodologies to the analysis, design and optimization of current cellular networks still applicable to 5G? The proposed tutorial is intended to offer a comprehensive and in depth crash course to communication professionals and academics. It is aimed to critically illustrate and discuss essential and enabling transmission technologies, communication protocols and architectures that are expected to make 5G wireless communication networks a reality. More specifically, the present tutorial is focused on illustrating the critical and essential importance of spatial models for an accurate system-level analysis and optimization of 5G networks, which are expected to use different frequency bands compared to state-of-the-art networks and to rely on a much denser deployment of access points and antenna-elements, to a scale that has never been observed in the past. Even though no clear definition of 5G networks exists to date, the vast majority of industrial and academic researchers believe that three concepts are expected to make 5G a revolution in the cellular industry: - The utilization of millimeter-wave frequencies for high-rate data transmission. - The densification of access points with heterogeneous characteristics (e.g., transmit-power, density, access technologies, etc.). - The densification of antenna-elements per access point, in order to further enhance the link spectral efficiency. Such a fundamental and radical paradigm-shift in network design and architecture requires cross-sectoral skills and background, which can very unlikely be realized by researchers that have not received personalized training on innovative technologies and adequate methodological tools to their analysis. The fundamental objective of the present tutorial is to offer to academic and industrial researchers, graduate students and professors a crash course on these essential elements that are expected to significantly shape 5G mobile cellular systems. More specifically, a main and overarching issue is currently attracting the interest of the research community, because of its peculiarity compared to previous generations of cellular networks: - Due to the densification of access points and antenna elements, as well as the peculiar channel models for transmission in the millimeter-wave band, the approaches used in the past for system-level simulation, analysis and optimization as a function of the network deployments are not applicable anymore. New and scalable (with the density of access points and antennas, as well as will the complexity of the new channel models) approaches need to be developed and experimentally validated for the envisaged access technologies and frequency bands. At the end of the tutorial, the audience will receive a thorough understanding of state-of-the-art, current research activities, theoretical & practical issues, and opportunities for research & development of essential elements for 5G communications, with particular focus on new methodologies for simulating, modeling, analyzing and optimizing hyper-dense 5G cellular networks that use a variety of emerging access technologies. In particular, these new approaches for system-level simulation and modeling will be validated with the aid of experimental data related to the locations of cellular base stations and to channel propagation models at millimeter-wave frequencies.
1. The Path Towards 5G Communications
a. 5G requirements
b. 5G worldwide research activities
c. 5G potential architectures and network topologies
d. 5G transmission technologies:
----- Massive MIMO
----- mmWave communications
----- Wireless-powered communications
e. 5G standardization efforts
2. Introduction to Stochastic Geometry Modeling
a. From the grid to the point processes: Why stochastic geometry modeling?
b. Enabling mathematical tools and fundamental results
c. Application to wireless networks:
----- Ad hoc
----- Heterogeneous cellular
d. From stochastic geometry to “computational” stochastic geometry: Making stochastic geometry computationally-efficient
e. Experimental validation of stochastic geometry modeling with real base station locations, building footprints, and channel models
3. Application to 5G Networks: Ultra-Dense Heterogeneous Cellular Networks Simulation, Modeling, Analysis and Optimization
a. Stochastic geometry modeling, analysis, an optimization of μWave MIMO-aided cellular networks
b. Stochastic geometry modeling, analysis, and optimization of mmWave MIMO-aided cellular networks
c. Stochastic geometry modeling, analysis, and optimization of massive MIMO-aided cellular networks
d. Stochastic geometry modeling, analysis, and optimization of self-powered MIMO-aided cellular networks
Primary Audience Students, academic researchers, industry affiliates and individuals working for government, military, science and technology institutions who would like to learn about emerging 5G architectures, transmission technologies, communication protocols and their achievable performance, by taking into account practical channel models and network deployments. The tutorial is intended to provide the audience with a complete overview of the potential benefits, research challenges, implementation efforts and applications of enabling 5G technologies.
Novelty The proposed tutorial is offered at a time when several graduate students and research engineers have just started their research & developing activities on 5G and may benefit from the proposed comprehensive but focused crash course. 5G, in fact, is receiving the interest from a broad research community across all continents. Thus, the proposed tutorial is expected to draw a lot of interest from the wireless communications community from different parts of the world.
Biography Marco Di Renzo received the Laurea (cum laude) and the Ph.D. degrees in electrical engineering from the University of L’Aquila, L’Aquila, Italy, in 2003 and in 2007, respectively, and the Habilitation à Diriger des Recherches (Doctor of Science) degree from University Paris-Sud, France, in 2013. He has held research and academic positions in Italy at the University of L’Aquila, in the United States at Virginia Tech, in Spain at CTTC, and in the United Kingdom at The University of Edinburgh. Since 2010, he has been a CNRS Associate Professor (“Chargé de Recherche Titulaire CNRS”) in the Laboratory of Signals and Systems of Paris-Saclay University—CNRS, CentraleSupélec, University Paris Sud, France. He is a Distinguished Visiting Fellow of the Royal Academy of Engineering, U.K. He is a co-founder of the university spin-off company WEST Aquila s.r.l. Italy. He is a recipient of several awards, including Best Paper Awards at IEEECAMAD (2012 and 2014), IEEE-VTCfall (2013), IEEE-ATC (2014), IEEE ComManTel (2015), the 2013 Network of Excellence NEWCOM# Best Paper Award, the 2013 IEEE-COMSOC Best Young Researcher Award for Europe, Middle East and Africa (EMEA Region), the 2015 IEEE Jack Neubauer Memorial Best System Paper Award, and the 2015-2018 CNRS Award for Excellence in Research and in Advising Doctoral Students. Currently, he serves as an Editor of the IEEE COMMUNICATIONS LETTERS and IEEE TRANSACTIONS ON COMMUNICATIONS, where is the Editor for Heterogeneous Networks Modeling and Analysis of the IEEE Communications Society. He is a Senior Member of the IEEE (COMSOC and VTS) and a Member of the European Association for Communications and Networking (EURACON). He is a Distinguished Lecturer of the IEEE Vehicular Technology Society. He is the Project Coordinator of the H2020 projects ITN-5Gwireless and ITN-5Gaura and he is or has been a Principal Investigator of the EU-funded projects ITN-GREENET, ITN-CROSSFIRE, IAPP-WSN4QoL, IAPP-SmartNRG, RICE-CASPER, and of the ANR-funded (French Science Foundation) project SpatialModulation. He is the representative for CNRS and Paris-Saclay University of the COST Action IRACON.
Abstract—Wireless everything--this is the goal that the digital society is marching towards. Looking 10--20 years ahead, the ubiquitous wireless world aims at building ultra-high-quality wireless networks that connect an ultra-large number of devices and enable fully interoperable information exchange among them. Security is one of the pivotal issues that need to be carefully addressed in the design and implementation of such wireless networks, since wireless transmissions are inherently vulnerable to security breaches. This tutorial focuses on physical layer security, which has been recognized as a promising mechanism to safeguard data confidentiality by exploiting the intrinsic randomness of the communications medium. In particular, this tutorial places an emphasis on leveraging disruptive wireless technologies to secure data transmission from the physical layer. First, this tutorial provides a high-level overview of the security methods for the previous and current mobile networks. Then, this tutorial introduces the state-of-the-art fundamental research of physical layer security, such as the evolution of secrecy performance evaluation and physical layer key generation. After this, the tutorial presents a structured and comprehensive survey of the security solutions enabled by cutting-edge wireless techniques, such as heterogeneous networking, full-duplex communication, massive multiple antennas, millimeter-wave transmission, machine-to-machine communication, energy- and spectrum-efficient communication, and software defined radio-based prototype. Finally, this tutorial identifies and discusses the outstanding barriers that future wireless designers must tackle.
Objectives The overarching objective of this tutorial is to provide a physical layer perspective on the security design of future wireless networks. At the end of this tutorial the participants will be able to:
Gain a basic understanding of the traditional security methods used in the previous and current wireless mobile networks and the security requirements of futuristic wireless networks.
Obtain critical comprehension of the state-of-the-art theoretical advancement of physical layer security.
Understand the concepts and underlying principles in cutting-edge physical layer security solutions and explore the role of disruptive wireless technologies in such solutions.
Analyse the benefits brought by physical layer security in supporting the deployment of safety-critical wireless networks in the not distant future.
1: Security in mobile communication networks
2: Traditional methods to secure previous and current mobile networks
Security requirements in future wireless networks
1: Theoretical advancement in physical layer security
2: Information-theoretical foundation of physical layer security
Evolution of secrecy performance evaluation
Secure physical layer key generation
1: Cutting-edge physical layer security solutions
2: Heterogeneous secure communication
Full-duplex secure communication
Massive MIMO-aided secure communication
Secure communication over mmWave channels
Machine type secure communication
Energy-efficient secure communication
Spectrum-efficient secure communication
Software defined radio-based prototyping
1: Challenges and Open Issues
2: Physical layer security beyond secrecy
Cross-layer design with cryptographical methods
Challenges imposed by future wireless world
Primary Audience This tutorial will be of interest to graduate students, junior and senior researchers, and engineers from the communications, signal processing, and networking communities who are interested in the secure design of the next-generation wireless networks (e.g., multi-tier/HetNets, massive MIMO and mmWave systems, D2D communication, and sensor networks). It will be also of interest to commercial and government security sectors who are interested in regulating and framing the use of physical layer security techniques in future.
Novelty There is an upsurge need for the understanding of the fundamental characteristics and future trends of physical layer security techniques, as these techniques are recognized as promising tools for safeguarding futuristic wireless networks. To meet this need, our tutorial presents a timely overview spanning both theoretical foundations and practical issues with cutting-edge physical layer security solutions. It also holds unique discussions on the challenges and open issues in physical layer security, based on the presenters' rich and world-class research experiences.
Biography Nan Yang is working as a Senior Lecturer and Future Engineering Research Leadership Fellow at the Australian National University. He is currently serving on the Editorial Board of the IEEE Transactions on Wireless Communications and the IEEE Transactions on Vehicular Technology. In 2014 he received the IEEE ComSoc Asia-Pacific Outstanding Young Researcher Award in 2014 in recognition of his contributions in wireless security. He has published 1 book chapter and over 35 journal and conference papers on physical layer security. He was the TPC Chair of the 2015 and 2016 IEEE GLOBECOM Workshop on Trusted Communications with Physical Layer Security.
Xiangyun Zhou received his Ph.D. degree in 2010 from the Australian National University where he is currently working as a Senior Lecturer. He serves on the Editorial Board of the IEEE Transactions on Wireless Communications and the IEEE Communications Letters. He has published one edited book and over 40 journal and conference papers on physical layer security, one of which received a Best Paper Award at ICC 2011. He was the co-chair of major international workshops on physical layer security at ICC 2014--2016 and GLOBECOM 2015--2016. He was a Guest Editor for the 2015 special issue on physical layer security in IEEE Communications Magazine.
Trung Q. Duong is currently an Assistant Professor at Queen's University Belfast, UK. He is the founder and co-organizer of series of the 1st, 2nd, 3rd, and 4th IEEE GLOBECOM Workshop on Trusted Communications with Physical Layer Security in 2013, 2014, 2015, and 2016. He was the Lead Guest Editor of IET Communications, Special Issue on ``Secure Physical Layer Communications'' in 2014. He is serving as an Editor of the IEEE Transactions on Wireless Communications, the IEEE Transactions on Communications, the IEEE Communications Letters, and the IET Communications. So far he has published more than 220 papers, among which 31 IEEE journal articles are in the field of physical layer security.