Tutorials offered at VTC2013-Spring
|Tutorial Name||Presented by||Time||Room|
|T1||Spatial Field Estimation with Wireless Sensor and M2M Capillary Networks||Carles Anton-Haro, Javier Matamoros, Centre Tecnologic de Telecomunicacions de Catalunya (CTTC)||CANCELLED|
|T2||Spatial Modulation for MIMO Wireless Systems||Marco Di Renzo (CNRS) Ali Ghrayeb (Concordia Univ.) Harald Haas (Univ. Edinburgh)||13:30–17:00||TBA|
|T3||Cooperative Wireless Communications||Lajos Hanzo, University of Southampton||09:00–12:30||TBA|
|T4||Social Mobile Clouds - Cooperative Networks for Selfish Users||Frank H.P. Fitzek, Aalborg University & Marcos D. Katz, Oulu University||CANCELLED|
|T5||Smart Direct-LTE Communication: An Energy Saving Perspective||Shahid Mumtaz, Institute of Telecommunication||09:00–12:30||TBA|
|T6||Small Cells Technologies in LTE Advance and Beyond||Li-Chun Wang, National Chiao Tung University; Chiung-Jang Chen, Chunghwa Telecom Laboratories||13:30–17:00||TBA|
|T7||Towards a New Generation of Vehicular Ad Hoc Networks: Protocols and Evaluation Methodologies||C. Campolo, A. Molinaro (University Mediterranea of Reggio Calabria), Riccardo Scopigno (ISMB)||CANCELLED|
|T8||V2V Safety Communications: An overview and examination of technical challenges||John B. Kenney, Toyota InfoTechnology Center, USA; Gaurav Bansal, Toyota InfoTechnology Center, USA||13:30–17:00||Seminar 4|
|T9||From Network based Location Estimation to Location Aided Communications||Dirk Slock, Eurecom / Ronald Raulefs, DLR||CANCELLED|
|T10||Energy harvesting for wireless networks||Neelesh B. Mehta, Indian Institute of Science (IISc)||CANCELLED|
T1: Spatial Field Estimation with Wireless Sensor and M2M Capillary Networks by Carles Anton-Haro, Javier Matamoros, Centre Tecnologic de Telecomunicacions de Catalunya (CTTC) has been cancelled
T2: Spatial Modulation for MIMO Wireless Systems
Presented by: Marco Di Renzo (CNRS) Ali Ghrayeb (Concordia Univ.) Harald Haas (Univ. Edinburgh)
The key challenge for future wireless communications is to make these networks energy-efficient and spectrum efficient at the same time. This results in a paradigm-shifting requirement which necessitates a clean-slate approach of wireless system design. Clearly, such approach will have to embrace the rich body of knowledge that has been created especially on Multiple-Input-Multiple-Output (MIMO) technology during the last 25 years. This motivates us to give a tutorial on an emerging wireless communications concept for 'massive' MIMO systems, which is today known under the name of Spatial Modulation (SM). SM has recently established itself as a beneficial transmission paradigm, potentially subsuming all members of the MIMO wireless system family, which exploits multiple antennas in a novel fashion. The research on SM has reached sufficient maturity to substantiate its claimed advantages compared with state-of-the-art standardized MIMO concepts, as well as its applications to other emerging wireless systems such as relay-aided, cooperative, small cell, optical wireless, and green communications. Furthermore, it has received sufficient attention to be implemented in testbeds, and holds the promise of stimulating further vigorous inter-disciplinary research in the next years. We believe that this is a timely topic and we anticipate that this tutorial will be of interest to many researchers/students/practitioners with different backgrounds.
Future wireless communication systems deployment, including fourth generation (4G) cellular systems, will be based on the MIMO transmission technology. Conventional MIMO schemes usually take advantage of the many antennas available at the transmitter by simultaneously transmitting multiple data streams from all of them. Furthermore, common open-loop MIMO schemes usually assume that all transmit-antennas are simultaneously active at any time instance. By properly choosing the transmission matrices, both multiplexing and transmit-diversity gains can be obtained via space-time coding. As a consequence, higher data rates and smaller error performance are obtained at the cost of: i) increasing the signal processing complexity at the receiver, which is caused by the need to counteract the interference created by simultaneously transmitting many data streams; and ii) making more stringent the synchronization requirements among the transmit-antennas.
Furthermore, more recently, with the advent of the green and sustainable information and communication era, state-of-the-art MIMO schemes are facing two additional major challenges: i) the need of multiple RF chains at the transmitter to be able to simultaneously transmit many data streams, which do not scale with Moore's law and make the transmitter very bulky; and ii) the need of independent power amplifiers for each RF chain, each one being responsible of the vast majority of the power consumed at the transmitter as well as being extremely power inefficient due to the stringent linearity requirements of state-of-the-art phase/amplitude modulations. For example, recent studies have shown that, for a fixed RF output power, the total power consumption of base stations linearly increases with the number of active RF chains.
These considerations imply that a major challenge of next-generation MIMO-enabled wireless networks is the design of multi-antenna transmission schemes with a limited number of active RF chains aiming at reducing circuitry complexity, inter-antenna synchronization requirements, inter-channel interference, signal processing complexity at the receiver, as well as at improving the energy efficiency. Fueled by these considerations, SM has recently established itself as an emerging and promising transmission concept belonging to the 'massive' MIMO wireless systems family but exploiting the multiple antennas in a novel way compared with state-of-the-art high-complexity and power-hungry classic MIMOs. This tutorial is intended to offer a comprehensive state-of-the-art survey on SM-MIMO, the critical appraisal of its beneficial application domains and their research challenges, the analysis of the related technological issues associated with the implementation of SM-MIMO, and, finally, the description of the world's first experimental activities in this research field.
- 1. SM-MIMO: Operating Principle and Generalized Transceiver Design
- a. Short overview of MIMO wireless systems
- b. Advantages and disadvantages of MIMO, and motivation behind SM-MIMO
- c. Generalized MIMO transceiver based on SM (transmitter, receiver, spatial- and signal-constellation diagrams)
- d. Advantages and disadvantages of SM-MIMO (single-RF, single-stream decoding, low-complexity 'massive' implementation, etc.)
- 2. SM-MIMO: A Comprehensive Survey
- a. Historical perspective
- b. State-of-the-art on transmitter design
- c. State-of-the-art on receiver design
- d. State-of-the-art on transmit-diversity and space-time-coded SM-MIMO
- e. State-of-the-art on performance and capacity analysis over fading channels
- f. State-of-the-art on performance and design in the presence of multiple-access interference
- g. State-of-the-art on robustness to channel state information at the receiver
- h. etc.
- 3. SM-MIMO: Application Domains Beyond the PHY-Layer
- a. Distributed/network implementation of SM-MIMO
- b. Application to relaying-aided and cooperative wireless networks
- c. Application to green networks: 'Massive' SM-MIMO design and the GreenTouch initiative
- d. Application to visible light communications: From MIMO-WiFi to SM-MIMO-LiFi
- 4. SM-MIMO: Research Challenges and Opportunities
- a. Space-time coded SM-MIMO with single-RF transmitter and single-stream decoding
- b. Channel-aware receiver design for distributed SM-MIMO design
- c. Channel-aware robust pre-coding for network SM-MIMO design
- d. Interference-aware transmitter and receiver design for heterogeneous small cell cellular systems
- e. Implementation challenges of SM-MIMO design
- 5. SM-MIMO: From Theory to Practice - Initial Experimental Results and Channel Measurements from a Testbed Platform
- a. Description of the hardware testbed
- b. Description of the measurements campaign
- c. Real-world performance results and comparison with state-of-the-art MIMO
Students, researchers and industry affiliations, and individuals working for government, military, science/technology institutions who would like to learn more about innovative MIMO concepts for low-complexity and energy-efficient wireless systems, and their applications to emerging communication paradigms. The tutorial is intended to provide the audience with a complete overview of potential benefits, research challenges, implementation efforts, and applications to many future wireless systems and standards, with the inclusion of the emerging pre-standardization activities on large-scale ('massive') MIMO systems.
This tutorial addresses a very recent transmission technology for MIMO wireless systems, which has been receiving for the past few years the interest of a broad research community across all continents. Hence, it is expected to draw a lot of interest from the wireless communications community from different parts of the world. The broad tutorial outline covering state-of-the-art, applications, implementation challenges, and experimental activities has never been offered to our research community before.
Marco Di Renzo (M'09) is a Tenured Researcher with the French National Center for Scientific Research (CNRS), and an academic staff member of the Laboratory of Signals and Systems (L2S), a joint research laboratory of CNRS, SUPELEC, and the University of Paris-Sud XI, France. He is the recipient of the special mention for the outstanding five-year (1997-2003) academic career; the THALES Communications fellowship for doctoral studies (2003-2006); the Torres Quevedo award for his research on ultra wide band systems and cooperative localization for wireless networks (2008-2009); and the IEEE CAMAD 2012 Best Paper Award. Currently, he serves as an Editor of the IEEE Communications Letters.
Ali Ghrayeb (SM'06) is a Professor with Concordia University, Canada. He is a co-recipient of the IEEE Globecom 2010 Best Paper Award. He holds a Concordia University Research Chair in Wireless Communications. Dr. Ghrayeb has instructed/co-instructed technical tutorials related to MIMO systems at several major IEEE conferences. He serves as an Editor of the IEEE Transactions on Wireless Communications, the IEEE Transactions on Communications. He served as an Editor of the IEEE Transactions on Signal Processing, an Associate Editor of the IEEE Transactions on Vehicular Technology.
Harald Haas (M'03) holds the Chair of Mobile Communications in the Institute for Digital Communications (IDCOM) at the University of Edinburgh, UK. He holds more than 23 patents. Since 2007, he has been a Regular High Level Visiting Scientist supported by the Chinese '111 program' at Beijing University of Posts and Telecommunications. He was an invited speaker at the TED Global conference 2011. He has been shortlisted for the World Technology Award for communications technology (individual) 2011. He is Associate Editor of IEEE Transactions on Communications. He recently has been awarded the EPSRC Established Career Fellowship.
T3: Cooperative Wireless Communications
Presented by: Lajos Hanzo, University of Southampton
This overview introduces the principles of cooperative communication,
commencing with the introduction of the basic MIMO types of
2. Space-time coding;
3. Spatial Division Myltiplexing;
4. Spatial Division Multiple Access;
The limitations of MIMOs relying on co-located array-elements are highlighted and it is shown, how the single-antenna-aided cooperative mobiles may circumvent these limitations by forming MIMOs having distributed elements. This concept is also referred to a Virtual Antenna Arrays (VAA). Then the corresponding amplify-forward and decode-forward protocols as well as their hybrids are studied. Channel coding has to be specifically designed for the VAAs in order to prevent avalanche-like error-propagation. Hence sophisticated three-stage-concatenated iterative channel coding schemes are proposed and it is argued that in the absence of accurate channel information at the relays the best way forward might be to use multiple-symbol differential detection. Indeed, it is rather unrealistic to expect that an altrustically relaying handset would also accurately estimate the source-relay channel for the sake of high-integrity coherent detection. EXIT-chart-aided designs are used for creating near-capacity solutions and a range of future research directions as well as open problems are stated.
Upon completion of this tutorial, participants will be able to:
o Decide upon the AF versus DF design benefits;
o Resolve the coherent versus non-coherent cooperation dilemma;
o Engage in research on novel cooperative solutions for wireless systems;
- Cooperative Adaptive Modulation;
- Successive Relaying Aided Near-Capacity Irregular Distributed Space-Time Coding;
- Coherent versus Non-Coherent Detection;
- Resource-Optimized Differentially Modulated Hybrid AF/DF Cooperation Dispensing with Channel Estimation;
- Distributed Channel Coding;
- Multiple Source Cooperation;
- Synchronous versus Asynchronous Cooperative Systems;
Whilst this overview is ambitious in terms of providing a research-oriented outlook, potential attendees require only a modest background in wireless networking and communications. The mathematical contents are kept to a minimum and a conceptual approach if adopted. Postgraduate students, researchers and signal processing practitioners as well as managers looking for cross-pollination of their experience with other topics may find the coverage of the presentation beneficial. The participants will receive the set of slides as supporting material and they may find the detailed mathematical analysis in the books coauthored by the presenter.
This tutorial creates a bridge between classic MIMOs having co-located elements and distributed MIMOs. Furthermore, intrinsically amalgamates the channel coding and transmission schemes and reviews the pros and cons of coherent versus non-coherent cooperative transceivers;
Lajos Hanzo (http://www-mobile.ecs.soton.ac.uk) FREng, FIEEE, FIET, Fellow of EURASIP, DSc has held various research and academic posts in Hungary, Germany and the UK. He has co-authored 20 Wiley-IEEE Press books and has 1300+ research contributions at IEEE Xplore.
T4: Social Mobile Clouds - Cooperative Networks for Selfish Users by Frank H.P. Fitzek, Aalborg University & Marcos D. Katz, Oulu University has been cancelled
T5: Smart Direct-LTE Communication: An Energy Saving Perspective
Presented by: Shahid Mumtaz, Institute of Telecommunication
Device to Device (D2D) communication underlying a cellular infrastructure is discussed in this paper. When enabling D2D communication in the system, one can see several benefits compared to the conventional infrastructure based communication, such as improved energy efficiency, increase overall system throughput and decrease traffic load in the network. The aim of this tutorial is to give an energy efficient perspective of D2D communication and help the researcher, operators and manufactures to see the benefits when facilitating D2D communication in the network. This tutorial explains the fundamental concepts about D2D communication to technical perspective, business opportunity and open issues when deploying D2D communication. We use 3GPP Long Term Evolution Advanced (LTE-A) as a baseline while explaining D2D communication.
Energy efficiency has emerged as one of the most important research topics for radio systems. This leads us to develop an energy efficient mechanism which adjusts transmission power according to the traffic load and reduces the energy per bit usage. The vision of Europe 2020 is to become a smart, sustainable and inclusive economy, and as part of these priorities the EU have setforth the 20:20:20 targets where greenhouse gas emissions and energy reduction of primary use should be reduced by 20% while 20% of energy consumption should come from renewable resource. In fact, in today's energy conscious society, Information and Communication Technology (ICT) accounts for 2% of the global CO2 emissions. A medium sized cellular network uses as much energy as 170,000 homes. While the cost of powering the existing BSs accounts for a staggering 50% of a service provider's overall expenses. Therefore new solutions are required whereby operators can accommodate additional traffic volume whilst reducing their investment in new infrastructure and beyond that significantly reduces their energy bill. Moreover, the EU political agenda in unison with expected growth in mobile data has identified cost and energy per bit reduction as a stringent design requirement for mobile networks of the future.
In order to solve the energy consumption issues mentioned above, to enhance the communication capacities and capabilities and to introduce new services, research is performed on many subjects, e.g. antenna design, data compression, modulation techniques among others. A very recent and less tackled topic is device to device (D2D)communication underlying cellular networks.
Therefore, the objective of this tutorial is to give an energy efficiency perspective of D2D communication to assist all major mobile stakeholders to perceive the benefit when facilitating D2D communication in the network. This tutorial initially elaborates on
the fundamental concept surrounding D2D communication towards a technical perspective, business opportunities and open challenges. The presentation will describe the details of the players and the opportunity as well as real-world insights into the challenges associated with network operations and management and the radio air interface interference problems. System level simulation is used to analyse the energy efficiency of D2D network.
- D2D will be overviewed and different short range technologies will be discussed.
- This section describes the motivation for operators to deploy D2D and for customers to use the D2D mode.
- D2D Challenges
- This section describes the challenges and their solutions, when deploying D2D communication in LTEA network including:~
- o D2D Functional Block in LTE-A SAE Architecture
- o Energy efficient D2D Deployment
- o Energy efficient D2D Node discovery
- o Energy efficient D2D Duplexing Mode
- o Energy efficient D2D Resource Management
- o Energy efficient D2D Interference Management
- o Energy efficient D2D Link Adaptation/HARQ
- o Energy efficient D2D Channel Measurement
- o Energy efficient D2D Signalling, Power control and Mobility Management
- D2D Application & Business opportunities
- This section describes the different D2D applications (i.e. augmented reality, BUMP), business models and opportunities for mobile stockholders.
- Energy efficient System Level simulation Analysis
- This section explains how to integrate D2D network in system level simulator (SLS) and different building blocks of SLS. Simulation results will be presented to show the energy efficiency of D2D network.
- Future of D2D
- This section explains the open issues that need to be solved if D2D is really to become a successful business paradigm.
Graduate students, post-docs, and any research engineers in the areas of electronic engineering, information and communication engineering, computer science and engineering, and telecommunication networks. Young faculties in the above-mentioned fields should also be benefited from the course.
D2D communication is a relatively new research area, which has not been addressed in a systematic way in the past major IEEE Conferences as a tutorial. We believe that this is the first kind of tutorial on D2D communication that will be presented in any VTC conference . The two major novelties of this course are: 1) Give detail introduction of D2D communication, Protocol stack and it core Architecture in LTEA network; 2) A comprehensive LTE-A System Level Simulator tool for analysis of the interference issue and the corresponding network energy efficiency containing hundreds of D2D and macro users.
T6: Small Cells Technologies in LTE Advance and Beyond
Presented by: Li-Chun Wang, National Chiao Tung University; Chiung-Jang Chen, Chunghwa Telecom Laboratories
In this tutorial, we discuss the performance issues of heterogeneous networks (HetNet) utilizing a mix of macrocells, remote radio heads (RRH) and low-power nodes such as picocells, femto-cells, and relay. From both theoretical and practical operator's perspectives, we investigate how to optimize the wireless networks with underlay small cells. We begin with an update of 3GPP LTE Advanced followed by an overview of various deployments scenarios of small cells considered in the 3GPP standardization. Then we discuss interference mitigation techniques in small cells and HetNet.�Last, we highlight the potential research issues in radio and access technologies of 5G wireless to conclude this tutorial.
* Provide the cellular industry state quo and the motivation for developing small cells and HetNet
* Identify main deployment scenarios for small cells and HetNet
* Provide the latest update of 3GPP LTE/LTE-A standards related to small cells and HetNet
* Identify key issues and challenges in developing small cells and HetNet
* Compare current LTE/LTE-A schemes in dealing with inter-cell interference
* Provide a systematic review of academic literature in resolving the interference issue in small cells and HetNet
* Provide in-depth introduction on some prospective academic schemes for effective inter-cell interference mitigation
* Highlight potential research directions for radio and access technologies of 5G
- Part I
- 1. Update of 3GPP Standardization and LTE Advanced
- 2. MIMO, MU-MIMO, CoMP for 3GPP and LTE-Advanced and Beyond
- 3. Small Cells and Heterogeneous Networks
- Part II
- 4. Enhanced Inter-cell Interference Cancellation Techniques (eICIC)
- 5. Advanced Interference Mitigation Techniques in HetNet
- - Interference alignment
- - joint beamforming and power allocation
- 6. Conclusions
- - Radio and Access Technologies for Evolution to 5G Wireless
This tutorial is targeted on both academic researchers and industrial engineers in the field of cellular mobile communications.
This course covers both the frontiers of academic and industrial R&D efforts in investigating small cells and HetNet. This will provide the audience with a holistic approach to looking at the small cells and HetNet issues.
Li-Chun Wang (M96 SM06 F11) received the B.S. degree from National Chiao Tung University, Taiwan, R. O. C. in 1986, the M.S. degree from National Taiwan University in 1988, and the Ms. Sci. and Ph. D. degrees from the Georgia Institute of Technology , Atlanta, in 1995, and 1996, respectively, all in electrical engineering. From 1990 to 1992, he was with the Telecommunications Laboratories of the Ministry of Transportations and Communications in Taiwan (currently the Telecom Labs of Chunghwa Telecom Co.). In 1995, he was affiliated with Bell Northern Research of Northern Telecom, Inc., Richardson, TX. From 1996 to 2000, he was with AT&T Laboratories, where he was a Senior Technical Staff Member in the Wireless Communications Research Department. In August 2000, he joined National Chiao Tung University in Taiwan, and is currently the Chairman of the Department of Electrical Engineering of NCTU since Aug. 2012. His current research interests are in the areas of radio resource management and cross- layer optimization techniques for wireless systems, heterogeneous wireless network design, and cloud computing for mobile applications. He was elected to the IEEE Fellow grade in 2011 for his contributions in cellular architectures and radio resource management in wireless net- works. Dr. Wang was a co-recipient (with Gordon L. St ¨uber and Chin-Tau Lea) ofthe 1997 IEEE Jack Neubauer Best Paper Award for his paper Architecture Design,Frequency Planning, and Performance Analysis for a Microcell/Macrocell Overlaying System,IEEE Transactions on Vehicular Technology, vol. 46, no. 4, pp. 836-848, 1997. He has published over 180 journal and international conference papers. He served as an Associate Editor for the IEEE Trans. on Wireless Communications from 2001 to 2005, the Guest Editor of Special Issue on Mobile Computing and Networking for IEEE Journal on Selected Areas in Communications in 2005 and on Radio Resource Management and Protocol Engineering in Future IEEE Broadband Networks for IEEE Wireless Communications Magazine in 2006. He is holding nine US patents.
Dr. Chiung-Jang Chen received his Ph.D. degree in communication engineering from National Chiao Tung University, Taiwan, in 2005. Since 1995 he was with Chunghwa Telecom Laboratories, Taiwan, and now is the project manager of LTE-A/B4G project in the wireless communications research department. He received the CIEE outstanding young electrical engineer awa
T7: Towards a New Generation of Vehicular Ad Hoc Networks: Protocols and Evaluation Methodologies by C. Campolo, A. Molinaro (University Mediterranea of Reggio Calabria), Riccardo Scopigno (ISMB) has been cancelled
T8: V2V Safety Communications: An overview and examination of technical challenges
Presented by: John B. Kenney, Toyota InfoTechnology Center, USA; Gaurav Bansal, Toyota InfoTechnology Center, USA
Room: Seminar 4
In this tutorial we cover the most important aspects of Dedicated Short Range Communications (DSRC), also known as Cooperative ITS. This technology is currently being considered for deployment in North America, Europe, and other parts of the world. DSRC is used to communicate vehicle-to-vehicle (V2V) and vehicle-to/from-infrastructure (V2I), enabling a set of compelling applications for safety, mobility, commerce, and environmental improvement. This tutorial focuses on the safety use case. The tutorial material includes the various layers of the protocol stack, V2V & V2I collision avoidance applications, and the technical challenges that are being addressed on the path to deployment. We will talk about government-sponsored field tests, like the US DOT Safety Pilot and the European DRIVE C2X, which are moving the technology out of the lab and into realistic vehicular environments. After presenting the basics of DSRC, we focus on one specific research problem that is currently of great interest: DSRC Channel Congestion. We discuss the merits of various approaches to address congestion, including avoidance and active control, as well as targets for control (message rate, transmit power, bit rate, and advanced techniques like carrier sense control). Finally, as a case study we will discuss our specific research on adaptive message rate control. The primary goal of the tutorial is to empower the attendee to participate in this important emerging technology, whether as a researcher, a developer, or a planner.
Upon completion of this tutorial, attendees will be able to:
1.Master the fundamentals of a critical emerging VTC technology, DSRC
2.Design collision avoidance applications based on V2V communication
3.Evaluate the impact of strategic investment on DSRC deployment
4.Join the DSRC research community, contributing to solutions for congestion control and other technical challenges
- 1.DSRC Technology
- 2.Vehicular Safety Communications
- 3.Overview of the Protocol Stack
- 4.Technical Challenges on the Path to Deployment
- 5.Policy Challenges on the Path to Deployment
- 6.Government Sponsored Field Tests
- 7.DSRC channel congestion control
The intended audience includes researchers in academia, engineers working in industry (car companies, equipment suppliers, chip manufacturers, etc.), governmental organizations responsible for deployment and regulatory decisions (road authorities, governmental labs), and also other international attendees. The tutorial is structured to provide value to attendees who come with only a basic knowledge of data networking, but also to deliver technical insight to those with more advanced backgrounds.
Vehicular safety communication is an important emerging field. This tutorial is well-timed to provide the attendee with critical technical and policy knowledge. After nearly ten years of active research, the field is reaching a level of maturity. However, significant challenges remain as the US Government considers a deployment mandate.
T9: From Network based Location Estimation to Location Aided Communications by Dirk Slock, Eurecom / Ronald Raulefs, DLR has been cancelled
T10: Energy harvesting for wireless networks by Neelesh B. Mehta, Indian Institute of Science (IISc) has been cancelled