T3: Towards Networked Airborne Computing: Applications, Challenges, and Enabling Technologies

Presented by: Kejie Lu (UPRM), Yan Wan (UT-Arlington), Shengli Fu (UNT), Junfei Xie (TAMU-CC)

Time: 9:00–12:30
Room: Room 4E

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Abstract—In recent years, unmanned aerial vehicles (UAVs) have attracted significant attention from industry, federal agencies, and academia. Although most existing UAV applications involve a single UAV, more and more emerging applications require multiple cooperative UAVs with computing capabilities. Such a trend leads to opportunities for researchers to tackle rich fundamental challenges across many disciplines, such as aerospace, control, communication, networking, and computing.

In this tutorial, our objective is to explore this new and cross-disciplinary area: networked airborne computing. We will address how to design and develop future generations of UAV-based networked airborne computing system, which consists of a network of smart UAVs that integrates communication, control, computing and storage capabilities.

Specifically, we will first discuss how existing and potential applications can be developed in the paradigm of networked airborne computing. After summarizing the requirements of these applications, we will address the challenges in system design, control, communications, networking and computing. We will then elaborate on enabling technologies, such as advanced control mechanism, long-range communication system, software-defined networking, network function virtualization, various virtualization mechanisms in computing, and mixed reality based human machine interface technology for manned-unmanned teaming. We will then demonstrate a networked airborne computing platform we are currently developing and invite audience to participate in some hands-on exercises. Finally, we will discuss open issues and important future directions before concluding the tutorial.

Tutorial Objectives
In this tutorial, our objective is to introduce to the audience a new and cross-disciplinary area: networked airborne computing. We will address the need, challenges, and enabling techniques to design and develop future generations of UAV-based networked airborne computing system, which consists of a network of smart UAVs that integrates communication, control, computing and storage capabilities.

The specific objectives we aim to achieve include:

• Give the audience a brief overview of the current research status on UAV and multi-UAV development, so as to motivate the need of the networked airborne computing.

• Discuss how existing and potential applications can be developed in the paradigm of networked airborne computing and summarize the requirements of these applications.

• Introduce the networked airborne computing platform, and demonstrate how it can meet the needs of existing and future UAV applications.

• Discuss the design challenges of the networked airborne computing platform from the aspects of system integration, control, communications, networking, and computing.

• Introduce specific technologies to enable the networked airborne computing. Example technologies to be covered in the tutorial include advanced control mechanisms, long-range communication system, software-defined networking, network function virtualization, various virtualization mechanisms in computing, and mixed reality based human machine interface technology for manned-unmanned teaming.

• Demonstrate a networked airborne computing platform we are currently developing, and provide audience with opportunities to gain hands-on experiences.

• Discuss open issues and important future directions.

Tutorial Outline

Introduction to networked airborne computing systems (30 min)

The market trend

Regulation and policy

Existing testbeds for multi-UAV systems

Emerging applications of networked airborne computing (60 min)

Emergency response

Cooperative surveillance

3D image stitching

UAV swarm

Content delivery

Airborne edge computing

Design challenges and open issues (90 min)

System design

Power supply

Flight control

Communication

Networking

Computing

Enabling technologies for networked airborne computing (90 min)

Cooperative control

Broadband and long-range communication system

Programmable medium access control

Software-defined networking

Network function virtualization

Information-centric networking

Virtualization mechanisms in computing

Manned-unmanned teaming

Demonstration and hands-on exercise (60 min)

Demonstration of a networked airborne computing platform

Hands-on exercises

Summary, discussion, and feedback (30 min)

Primary Audience
Students, researchers, and developers interested in multi-UAV development and applications, with a background in aerospace, control, communication, networking, or computing.

Novelty
Over the past decade, UAV has been a hot research topic in multiple domains, such as aerospace, control, communications, and networking. Nevertheless, we notice that most existing UAV applications involve a single UAV, which may not fully exploit the potentials of UAVs. In this tutorial, we will discuss how a networked airborne computing system can bring great opportunities for researchers across many disciplines. To the best of the speakers’ knowledge, there are no existing tutorials discussing such a cross-disciplinary topic.

Biography
Dr. Kejie Lu is a professor in the Department of Computer Science and Engineering, University of Puerto Rico at Mayagüez (UPRM). He received his Ph.D. degree in Electrical Engineering from the University of Texas at Dallas in 2003. Since July 2005, he has been a faculty member in UPRM. His research interests include architecture and protocol design for computer and communication networks, cyber-physical system, network-based computing, and network testbed development.

Dr. Yan Wan is currently an Associate Professor in the Electrical Engineering Department at the University of Texas at Arlington. She received her Ph.D. degree in Electrical Engineering from Washington State University in 2009. From 2009 to 2016, she was an assistant professor and then an associate professor at the University of North Texas. Her research interests lie in developing fundamental theories and tools for the modeling, evaluation, and control tasks in large-scale dynamic networks and cyber-physical systems.

Dr. Shengli Fu is currently a professor and the Chair in the Department of Electrical Engineering, University of North Texas (UNT), Denton, TX. He received his Ph.D. degree in Electrical Engineering from the University of Delaware, Newark, DE, in 2005, before he joined UNT. His research interests include coding and information theory, wireless communications and sensor networks, aerial networks, and drone systems design.

Dr. Junfei Xie is an Assistant Professor at the Department of Computing Sciences of Texas A&M University - Corpus Christi. She received her Ph.D. degree in Computer Science and Engineering in 2016 from University of North Texas. Her current research interests include airborne networks, unmanned systems, spatiotemporal data mining, dynamical system modeling and control, and complex information systems.

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T4: AI Paradigm for User Experience and Network Management in Next-Generation Indoor Networks

Presented by: Haris Gacanin, Nokia Bell Labs

Time: 9:00–12:30
Room: Room 4L

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Abstract—The shift from managing network nodes and devices to managing functions that are part of services provided to users will be addressed. These functions are mostly related to the end-to-end user experience and directly coupled with different network management strategies. This tutorial gives an overview of multi-disciplinary research related to user experience and network management with their components and design challenges. We address the shortcomings of contemporary rule-based optimization protocols and re-thinking our operations and management for boosting the network performance. Specifically, a paradigm shift toward the confluence of computer science and communication engineering would be necessary to embrace and study interactions between network design and user experience.

Tutorial Objectives
This tutorial explores challenges and future research directions related to AI-driven automation of user and network management. We start with future network challenges and requirements facing stakeholders with discussion on state-of-the-art user experience and network management platforms (i.e., complex system-of-systems).

Then, we elaborate on examples of intelligent agent design (perception, reasoning, learning) and present case studies defining Self-X space such as self-deployment and self-optimization though real-life prototype implementation using commodity indoor wireless access points.

Finally, we point out to a paramount in creating direct relations between desired user experience and an operator (network) management decisions. The growing importance of proper understanding of complex business and network behavior is stressed to unveil necessary future research directions. We indicate the path to AI inspired automation between user experience and network management enables zero-touch deployments and self-optimization in future networks.

Tutorial Outline

1. Future Network Access: An Overview (15 minutes)
   1. Network and operator design requirements (WiFi and Cellular)
   2. User and service driven networks
   3. Cognitive management: network, service, or customer approach
2. User experience and network management (20 minutes)
   1. State of the art
   2. Components: QoS/KPI vs. QoE/KQI
   3. Proactive/reactive DA and AI platforms
   4. Challenges (operator, network and user)
3. The System-of-Systems (SoS) (60 minutes)
   1. General theory (systems, interactions, environment)
   2. SoS-related challenges in future networks
   3. AI design models (agent, environment, reasoning, optimization, learning)
4. Case studies: Self-deployment and Self-optimization (60 minutes)
   1. Case-Based-Reasoning (CBR) framework (self-deployment)
   2. Guided reinforcement learning framework (joint self-deployment and self-optimization)
   3. Knowledge Base Representation
   4. DA vs. AI user experience management
5. Conclusions and Future Directions (10 minutes)

Primary Audience
Entry level graduate students (PhD-level) who are seeking to pursue dissertation research in 5G, as well as industry practitioners who need to upgrade their skill sets and rethink how to view 5G communications from network operations perspective. Hence, it is ideally suited for attendees of the conference. No knowledge of communication protocols is required to attend the tutorial.

Novelty
This tutorial gives an overview of multi-disciplinary research related to user experience and network management with their components and design challenges. We address the shortcomings of contemporary rule-based optimization protocols and re-thinking our operations and management for boosting the network performance. Specifically, a paradigm shift toward the confluence of computer science and communication engineering would be necessary to embrace and study interactions between network design and user experience.

Biography
Haris Gacanin received his Dipl.-Ing. degree in Electrical engineering from University of Sarajevo, Bosnia and Herzegovina, in 2000. In 2005 and 2008, he received M.E.E. and Ph.D. from Tohoku University, Japan. He was with Tohoku University from April 2008 until May 2010 first as Japan Society for Promotion of Science postdoctoral fellow and then, as Assistant Professor. Since 2010, he is with Alcatel-Lucent (now Nokia), where he is currently Department Head at Nokia Bell Labs leading research activities related to application of artificial intelligence and machine learning to network optimization with focus on mobile/wireless/wireline physical (L1) and media access (L2) layer technologies and network architectures. He has more than 200 publications (journals, conferences and patens) and invited/tutorial talks. He is senior member of the Institute of Electrical and Electronics Engineers (IEEE) and the Institute of Electronics, Information and Communication Engineering (IEICE).

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T5: Mobile Edge Cloud for Cyber Physical System Applications

Presented by: Sayed Chhattan Shah, Hankuk University of Foreign Studies, South Korea

Time: 9:00–12:30
Room: Room 4F

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Abstract—Mobile edge cloud is emerging as a promising technology to IoT and CPS applications such as smart home and intelligent video surveillance. In smart home, various sensors are deployed to monitor the home environment and physiological health of individuals. The data collected by sensors are sent to an application, where numerous algorithms for emotion and sentiment detection, activity recognition and situation management are applied to provide healthcare services and to manage resources at the home. The executions of these algorithms require a vast amount of computing and storage resources.
To address the issue, the conventional approach is to send the collected data to an application on an internet cloud. This approach has several drawbacks such as high communication latency and energy consumption. To overcome the drawbacks of the conventional cloud-based approach, a mobile edge cloud is proposed.
In mobile edge cloud, multiple mobile and stationary devices interconnected through wireless local area networks are combined to create a small cloud infrastructure at a local physical area such as home. Compared to traditional systems such as mobile cloud, mobile edge cloud introduces several complex challenges due to the heterogeneous computing environment, heterogeneous and dynamic network environment, node mobility, and limited battery power. The real-time requirements associated with IoT and CPS applications make the problem even more challenging. In this tutorial, we will discuss the applications and challenges associated with design and development of mobile edge cloud system and an architecture based on a cross layer design approach for effective decision making.

Tutorial Objectives
Know the fundamental concepts of mobile cloud computing and edge computing systems

Identify the major issues associated with mobile cloud computing systems, edge computing systems, and mobile ad hoc systems

Develop knowledge of the approaches and methods for building mobile edge cloud system

Be aware of the current research directions in the field and their possible outcomes

Tutorial Outline

• Introduction
  • Cluster
  • Grid
  • Cloud
• Mobile Cloud Computing
  • Cloud Robotics
  • Sensor Cloud
• Internet of Things and Cyber Physical System Applications
• Edge Computing
  • Fog Computing
  • Mobile Edge Computing
  • Cloudlet Computing
• Mobile Ad hoc Cloud
• Vehicular Ad hoc Cloud
  • Opportunities
  • Challenges
• Mobile Edge Cloud
  • Opportunities
  • Challenges
  • Architecture
  • Research Directions
• Conclusions

Primary Audience
All the researchers and practitioners involved in distributed and cyber physical systems are welcome.

Novelty
- The tutorial focuses on distributed computing infrastructures for internet of things and cyber physical system applications
- It includes detailed discussion of applications, use case scenarios, and challenges involved in design and development of mobile edge system
- It also includes an in-depth analysis of prominent mobile cloud and edge computing architectures and systems
- Development of a new mobile edge cloud system and its applications

Biography
Sayed Chhattan Shah is an Assistant Professor of Computer Science in the Department of Information Communication Engineering at Hankuk University of Foreign Studies Korea. He is also Director of Mobile Grid and Cloud Computing Laboratory. His research interests lie in the fields of parallel and distributed computing systems, ad hoc networks and cyber physical systems. He received his Ph.D. in Computer Science from Korea University in 2012 and his M.S. in Computer Science from National University of Computer and Emerging Sciences in 2008. Prior to joining HUFS, he was a Senior Researcher at the Electronics and Telecommunications Research Institute South Korea and Engineer at the National Engineering and Scientific Commission Pakistan. He also held faculty positions at Seoul National University of Science and Technology, Korea University, Dongguk University, Hamdard University and Isra University.

Shah is an Editor of IEEE Internet Initiative and Associate Editor of Information Processing Systems. He has served as the Conference Chair and on program committees of various international conferences. He is a senior member of IEEE, and a member of IEEE Communications Society, International Telecommunication Union, Korean GNSS Society, and International Association of Engineers.

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T6: Wireless Transmission of Big Data: A Data Oriented Approach

Presented by: Hong-Chuan Yang, University of Victoria, Canada; Mohamed-Slim Alouini, KAUST, Saudi Arabia

Time: 14:00–17:30
Room: Room 4F

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Abstract—Wireless communication systems play an essential role in the generation and transmission of big data. The design and optimization of wireless transmission strategies for big data application are of critical current interest. In this proposed tutorial, we present a unique data-oriented approach for the design and analysis of wireless transmission strategies, specifically targeting at big data transmission. Novel data-oriented performance metrics are proposed and applied to the analysis of wireless transmission strategies in the information theoretical and practical transmission settings. We also develop analytical frameworks to accurately characterize the data transmission time in both cognitive and non-cognitive environments. Compared to conventional analytical approach, the data-oriented approach offers important new insights and leads to interesting new research directions. Through this tutorial, the attendees can obtain a brand new perspective to the analysis and optimization of wireless transmission technologies for big data applications.

Tutorial Objectives
We are in an era of big data. Data are generated and collected at an accelerating rate. To efficiently support various big data applications, future wireless transmission systems should optimize their strategies for transmitting a huge amount of data. Most wireless transmission technologies are designed with the goal of enhancing or approaching the capacity of the wireless channel, usually characterized by ergodic capacity and outage capacity.

To further improve the efficiency of wireless transmission systems, we need to study them from a new perspective. We note that the traditional channel-oriented approach is ignorant of the specifics of individual transmission session, such as the channel state, the data property, and the network conditions, and apply the same transmission strategy for all transmission sessions over the same channel. Motivated by this observation, we propose a novel data-oriented approach for wireless transmission system design. Specifically, we consider the optimal design of transmission strategy for individual data transmission session according to the operating environment. The rationale for this data oriented approach is that optimizing the transmission strategy of individual session will maximize the transmission efficiency of the overall system.

The objective of the tutorial is to bring new insights to the analysis and design of wireless transmission strategies, especially for big data applications. We adopt a unique data-oriented approach by targeting at the performance analysis of individual data transmission sessions. With novel data-oriented performance metrics, we can fully characterize the quality of individual data transmission session. We also develop analytical frameworks to investigate the transmission time performance of practical wireless transmission technologies in both non-cognitive and cognitive environments. Through this tutorial, the attendees can obtain a brand new perspective on the analysis and optimization of wireless transmission technologies for big data applications.

Tutorial Outline

• Big data transmission over fading channels
• Data oriented performance limits
  • Minimum transmission time
  • Maximum entropy rate
  • Application: rate adaptation only vs optimal power and rate adaptation
• Channel adaptive transmission of big data
  • Transmission time analysis for block fading channel
  • Transmission time analysis for Markov channel
  • Application: energy consumption analysis
• Cognitive transmission of big data
  • Characterization for temporal spectral opportunities
  • Extended delivery time analysis
  • Work-preserving vs non-work-preserving strategies
  • Effect of sensing imperfection
  • Application: secondary queuing performance analysis
• Conclusion and open research topics

Primary Audience
The tutorial coverage is sufficiently broad as to have strong appeal to MS and PhD students, instructors/lecturers, and researchers currently working in the field of wireless communications, as well as a large cross-section of practicing engineers who are responsible for the design, development, and performance evaluation of wireless communication systems for big data applications.

Novelty
Wireless communication systems play an essential role in the generation and transmission of big data. The design and optimization of wireless transmission strategies for big data application are of critical current interest. The data-oriented analytical approach will provide important new insights to the analysis and design of wireless transmission strategies. The tutorial will coherently cover the most recent research findings of the presenters that were accepted or published in IEEE journals within the past three years.

Biography
Dr. Hong-Chuan Yang received the Ph.D. degree in electrical engineering from the University of Minnesota in 2003. He is a professor of the Department of Electrical and Computer Engineering at the University of Victoria, Canada. From 1995 to 1998, He was a Research Associate at the Science and Technology Information Center (STIC) of the Ministry of Posts & Telecomm. (MPT), Beijing, China. His current work mainly focuses on different aspects of wireless communications, with special emphasis on channel modeling, diversity techniques, system performance evaluation, cross-layer design, and energy efficient communications. He has published over 200 journal and conference papers. He is the author of the book Introduction to Digital Wireless Communications by IET press and the co-author of the book Order Statistics in Wireless Communications by Cambridge University Press.

Dr. Mohamed-Slim Alouini received the Ph.D. degree in electrical engineering from the California Institute of Technology (Caltech) in 1998. He also received the Habilitation degree from the Universit\'e Pierre et Marie Curie in 2003. Dr. Alouini started his academic career at the University of Minnesota in 1998. In 2005, he joined Texas A&M University at Qatar, Doha, and in 2009, he was appointed as Professor of Electrical Engineering at KAUST, Thuwal, Mekkah Province, Saudi Arabia, where he is responsible for research and teaching in the areas of Communication Theory and Applied Probability. More specifically, his research interests include design and performance analysis of diversity combining techniques, MIMO techniques, multi-hop/cooperative communications systems, cognitive radio systems, and multi-resolution, hierarchical and adaptive modulation schemes. Dr. Alouini has published many papers on the above subjects, and he is co-author of the textbook Digital Communication over Fading Channels published by Wiley Interscience. He is a Fellow of the IEEE, a member of the Thomson ISI Web of Knowledge list of Highly Cited Researchers.

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T8: Privacy Challenges in the Smart City: Technologies and Solutions for Intelligent Transportation by David Eckhoff, TUMCREATE Singapore and Isabel Wagner, De Montfort University, UK has been cancelled

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T9: Interference Management in Wireless Networks by Venugopal Veeravalli (University of Illinois at Urbana-Champaign) and Aly El Gamal (Purdue University) has been cancelled

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T10: Recent Advances in Ultra-Reliable Low-Latency Wireless Comms: Communication and Control Co-Design

Presented by: Guodong Zhao, UESTC, China; Changyang She, Uni. of Sydney; Muhammad A. Imran, Uni. of Glasgow, UK

Time: 14:00–17:30
Room: Room 4G

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Abstract—Recently, wireless networks are undergoing a transition from connecting people to connecting things, which will allow human interaction with the physical world in a real-time fashion, e.g., tactile internet, industrial automation, self-driving vehicles, and remote surgery. Therefore, future wireless networks need to support real-time control with Ultra-Reliable and Low-Latency Communications (URLLC), which is also one of the major goals in fifth generation (5G) communication systems. In this tutorial, we discuss some fundamental design aspects and challenges to enable the real-time control in future wireless networks. In particular, we introduce the recent advances in communication-control co-design to capture the strong dynamics and interdependencies between wireless communication and control systems. We also discuss the co-design of Physical (PHY) and Medium Access Control (MAC) layers to guarantee URLLC requirements under limited wireless resource. Finally, we will discuss open problems and potential research directions in URLLC.

Tutorial Objectives
The main objective of this tutorial is to introduce the challenges and fundamental design aspects in URLLC from the perspective of co-design between wireless communication and control systems. In particular, we will introduce the basics of real-time wireless control systems and discuss recent advances in communication-control co-design, which is expected to understand the strong dynamics and interdependencies between wireless communication and control systems. We will also introduce the basics of wireless system under URLLC requirements and discuss some fundamental research on PHY-MAC layer co-design. From this tutorial, we expect to inspire researchers to design fully integrated wireless control systems that can be widely implemented in future wireless networks.

Tutorial Outline

• Part 1: Background (0.75 hour)
  • Introduction of real-time wireless control systems
  • Applications and technical challenges
• Part 2: Communication-Control Co-Design in Wireless Control Systems (1 hour)
  • Hybrid URLLC and LTE design for wireless control
  • Predictive control design with short packet transmission
• Part 3: PHY-MAC layer Co-Design in Wireless Communication Systems (1 hour)
  • Cross-layer radio resource management for URLLC
  • Joint uplink and downlink resource management for URLLC
• Part 4: Conclusions (0.25 hour)
  • Open problems
  • Future directions

Primary Audience
The tutorial intends for the generally knowledgeable individuals working in the field of wireless communications and networks with some background in information theory and queueing theory. The intended audience also includes young researchers and faculty, graduate students, and system engineers, who are interested in URLLC in 5G.

Novelty
This tutorial presents the latest interdisciplinary research between wireless communications and control, which is essential to address the challenges in URLLC. In particular, we will introduce the basics of real-time wireless control systems, which include both wireless communication and control models. We will also provide in-depth discussion on the recent advances in URLLC to understand open problems and potential directions research.

Biography
Guodong Zhao (SM’16) received his Ph.D. Degree from Beihang University, Beijing, China, in 2011 and his B.E. degree from Xidian University, Xi'an, China, in 2005. He visited the Hong Kong University of Science and Technology, Hong Kong, in 2012.5-2013.8, Lehigh University, USA, in 2016.7-2017.1, and University of Glasgow, UK, in 2017.10-2017.11. He is now an associate professor at University of Electronic Science and Technology of China (UESTC) and an honorary lecturer at University of Glasgow. His current research interests are within the areas of wireless communications and control. He published over 50 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.

Changyang She (M'17) received his B. Eng and Ph.D. degrees in Electronics and Information Engineering from Beihang University, Beijing, China in 2012 and 2017, respectively. He is now a postdoctoral research fellow with Singapore University of Technology and Design. After March 2018, he will be a postdoctoral research associate in the University of Sydney. His research interests lie in the areas of ultra-reliable and low-latency communications, machine type communication, big data for resource allocation in wireless networks and energy efficient transmission in 5G systems. He has given a tutorial on ultra-reliable and low-latency communications in IEEE International Conference on Communications in China (ICCC) 2017.

Muhammad Ali Imran (M'03, SM'12) received his M.Sc. (Distinction) and Ph.D. degrees from Imperial College London, UK, in 2002 and 2007, respectively. He is a Professor in Communication Systems in University of Glasgow, Vice Dean of Glasgow College UESTC. He is the Head of Communications, Sensing and Imaging research group and lead the 5G research activities in Glasgow. He has led a number of multimillion-funded international research projects encompassing the areas of energy efficiency, fundamental performance limits, sensor networks and self-organising cellular networks. He has supervised 30+ successful PhD graduates and published over 300 peer-reviewed research papers including more than 20 IEEE Transaction papers. He has been awarded IEEE Comsoc’s Fred Ellersick award 2014, FEPS Learning and Teaching award 2014, Sentinel of Science Award 2016, and twice nominated for Tony Jean’s Inspirational Teaching award.

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T11: Channels and Modulation Methods for Wireless Communications in High-Mobility Environments

Presented by: A.F. Molisch, U South. Cal.; R. Hadani, U Texas Austin, A. Monk, CohereT, Christian Ibars, CohereT

Time: 14:00–17:30
Room: Room 4E

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Abstract—This tutorial describes recent developments of the physical layer for wireless communications in high-mobility environments (V2X, high-speed rail HSR). We first discuss the applications and requirements for communications in such environments, covering both communications for vehicle operation (car-to-car communication for autonomous driving, train control, track monitoring) and entertainment-oriented communication such as web access for passengers. We then review propagation channels for V2X and high speed trains, and point out the differences to conventional cellular channels (such as high Doppler, loss of WSSUS properties even within short time periods, etc.). Next, we discuss the impact of these channel properties on OFDM-based V2X and HSR communication, including IEEE 802.11p and LTE. We in particular discuss intercarrier interference, and the difficulty of timely feedback, which makes opportunistic scheduling and adaptive modulation and coding more difficult. We then discuss fundamentals of time-frequency spreading and their application to new modulation formats designed for high-mobility environments. We derive from first principles modulation methods suitable for signaling in V2X and HSR - type environments (i.e., delay- and Doppler-dispersive environments). We establish the advantages of spreading in both time and frequency domain for such environments, and analyze modulation and multiple access based on those principles, in particular the recently introduced OTFS (Orthogonal Time Frequency Space) modulation that has been proposed to 3GPP for 5G systems. Performance simulations and comparisons between these new modulations with OFDM will wrap up the tutorial.

Tutorial Objectives
Understanding the main applications of communications in vehicle-to-vehicle, vehicle-to-infrastructure, and high-speed rail communications
Understanding the requirements those applications put on communications systems
Obtaining an overview of propagation channel characteristics in V2X and HSR environments
Appreciating the difference between time variations and nonstationarities in channels
Learning about modeling methods including tapped delay lines and geometry-based stochastic channel models for V2X and HSR environments
Understanding the principles of OFDM-based communications systems for high-mobility environments, in particular 802.11p (WAVE) and LTE
Learning the impact the unique channel and environment properties of high-mobility environments have on OFDM-based systems, and learning about possible countermeasures to impairments
Understanding the role of time-frequency representations, in particular Zak transform, in describing signals and channels in delay-and Doppler-dispersive environments
Learning the difference and connections between time-spreading, frequency-spreading, and time-frequency spreading
Understanding the basics of OTFS modulation
Understanding the pros and cons of channel adaptation and spreading in high-mobility environments

Tutorial Outline

• Introduction and motivation
  • Importance of high-mobility communications systems
  • Services and requirements
• Propagation channels in high-mobility environments - double dispersion
  • Delay and Doppler dispersion
  • Time variance versus stationarity
  • Summary of measurements results from the literature (pathloss, shadowing, delay, Doppler and angular dispersion)
  • Modeling approaches: tapped delay lines versus geometry-based stochastic methods versus quasi-deterministic methods
  • Millimeter-wave and Terahertz channels for V2X and HSR
• OFDM-based systems in doubly-dispersive channels
  • 802.11p (WAVE)
  • LTE and its variants
  • Intercarrier interference
• Feedback, adaptation, and spreading
  • Implicit versus explicit feedback
  • Pros and cons of adaption in high-mobility
• OTFS - modulation in the delay-Doppler domain
  • The Zak transform and its relation to the time and frequency domains
  • Modulation in the delay/Doppler domain
  • Spreading in the time/frequency domain and diversity
• Performance analysis of modulation formats in doubly-dispersive channels
• Summary and suggestions for open research topics

Primary Audience
The target audience are active researchers in both the propagation channel and communication-theory community. PhD students might find inspiration for thesis topics, in particular in the descriptions of OTFS, and of mm-wave and THz channels.

Novelty
In the past few years, the combination of high data rates and high reliability has been recognized as essential to support of autonomous driving, track monitoring, and other safety-relevant applications. The proposed tutorial provides (as far as we know) for the first time a tutorial overview of the foundations of such systems both in terms of channels and modulation/transmission design, emphasizing the topics that will dominate the research in this area in the next years.

Biography
Andreas F. Molisch is the Solomon-Golomb - Andrew-and-Erna-Viterbi Chair Professor at the University of Southern California. He has done extensive research on wireless propagation channels and system design, authoring more than 500 journal and conference papers, 70 standards contributions, and 80 patents. He is an IEEE Distinguished Lecturer, a Fellow of the National Academy of Inventors, Fellow of IEEE, AAAS, IET, a Member of the Austrian Academy of Sciences, and recipient of numerous awards, including the Eric Sumer Award of the IEEE and the James Evans Avant-Garde Award of the IEEE VTS.

Ronny Hadani is an associate professor in the Mathematics Department of the University of Texas at Austin. Before that, he was a Dickson postdoctoral fellow in the Mathematics Department of the University of Chicago. He holds a PhD in pure mathematics from Tel-Aviv University under the direction of Prof. Joseph Bernstein and a Master degree in applied mathematics from The Weizmann Institute of Science under the direction of Prof. Achi Brandt. He also serves as the Chief Technology Officer at Cohere Technologies

Anton Monk is VP Strategic Alliances & Standards at Cohere Technologies. He was co-founder of Entropic Communications, a publicly traded company that invented the MoCA home networking standard, and was CTO of MoCA. He developed cable, satellite and wireless ICs and systems at Conexant and ComStream and was a researcher at JPL. He holds a PhD from UC San Diego.

Christian Ibars received his Master's degree from UPC, Laurea from Politecnico di Torino, and PhD from the New Jersey Institute of Technology. He was Head of the Communications Systems at CTTC (Centre Tecnologic de Telecomunicacions de Catalunya) and Senior Wireless Standards Engineer at Intel. He is now Principal Engineer, Wireless Standards, at Cohere Technologies. He is the author of over 80 international journal
and conference papers.

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T12: REM’s Enabled Optimal Spectrum Sharing and Management by Liljava Gavrilovska, Valentin Rakovic, Daniel Denkovski, Ss Cyril and Methodius University has been cancelled

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