TUTORIALS

Tutorial Title:
Low-Cost Massive MIMO：From Theory to Practice

Time: 14:00-17:30, Jul. 27, Wednesday
Room: Hongda Meeting Room, Hongda Building 1F

Instructor(s):
Shi Jin, Southeast University, China;
Feifei Gao, Tsinghua University, China;
Chao-Kai Wen, National Sun Yat-sen University, Taiwan

This tutorial is composed of three parts. In the first part, Shi Jin will systematically investigate the low-cost massive MIMO wireless communication in cellular networks by considering many important aspects, including hardware cost, power consumption, and computational complexity. In the second part, Feifei Gao will focus on the architecture of transmitters for massive MIMO system and present a concrete scheme of the low cost channel estimation. Based on the efficient fast Fourier Transform (FFT), a spatial basis expansion model (SBEM) is introduced to represent the channels with much less parameter dimensions. In the third part, Chao-Kai Wen will focus on the architecture of receivers for massive MIMO systems, especially issues with low-cost transceivers. We also highlight the open issues and research directions to this topic.

The tutorial is organized as follows:

Part 1: Low-Cost Massive MIMO: Transceiver Architecture, Performance Analysis and Practical Prototyping
1.Concept of Low-Cost Massive MIMO

1. Literature Review
2. b.Fundamental Limits of Current Massive MIMO techniques
3. Low-Cost Massive MIMO

2.Transceiver Architecture

1. Hybrid Precoding Schemes
2. Channel Estimation Techniques
3. Mixed-ADC Receiver

3.Performance Analysis

1. Sum Rate Analysis
2. Multi-User Scheduling
3. Resource Allocation

4.Practical Prototyping

1. Fast-Prototyping Platform
2. Implementations of Concept Systems

5.Sumamry

Part 2: Low-Cost Massive MIMO: Channel Estimation and Training Design for TDD/FDD Systems
1.Literature Review
2.System Model

1. Characteristics of ULA and Channel Vectors
2. Spatial BEM
3. Transmission Framework

3.Channel Estimation

1. Obtain Spatial Information through Uplink Preamble
2. Uplink Training with User Grouping
3. Downlink Training with Angle Reciprocity
4. Data Transmission with User Scheduling

5.Summary

Part 3: Low-Cost Massive MIMO: Massive MIMO Receiver Architecture
1. Literature Review
2. Algorithm Description

1. Bayesian Inference
2. Belief Propagation Algorithm
3. Relaxed Belief Propagation Algorithm
4. Approximated Message Passing Algorithm

3. Applications

1. Channel Estimation
2. Data Detection with Coarse Antennas at the Receiver

4. Open Issues and Research Directions
5. Concluding Remarks

Biography of the instructor(s):

Feifei Gao, Tsinghua University, China

Feifei Gao is currently an Associate Professor with Department of Automation, Tsinghua University, Beijing, China. His research areas include communication theory, signal processing for communications, array signal processing, and convex optimizations, with particular interests in MIMO techniques, multi-carrier communications, cooperative communication, and cognitive radio networks. He has authored/ coauthored more than 80 refereed IEEE journal papers and more than 110 IEEE conference proceeding papers, which have been cited more than 3500 times from Google Scholar. Prof. Gao has served as an Editor of IEEE Transactions on Wireless Communications, IEEE Communications Letters, IEEE Wireless Communications Letters, International Journal on Antennas and Propagations, and China Communications. He has also served as the symposium co-chair for 2015 IEEE Conference on Communications (ICC), 2014 IEEE Global Communications Conference (GLOBECOM), 2014 IEEE Vehicular Technology Conference Fall (VTC), as well as Technical Committee Members for many other IEEE conferences.

Chao-Kai Wen, National Sun Yat-sen University, Taiwan

Chao-Kai Wen received the Ph.D. degree from the Institute of Communications Engineering, National Tsing Hua University, Taiwan, in 2004. Form 2004 to 2009, he was with Industrial Technology Research Institute, Hsinchu, Taiwan and MediaTek Inc., Hsinchu, Taiwan, where he was engaged in broadband digital transceiver design. He is currently an Associate Professor of the Institute of Communications Engineering, National Sun Yatsen University, Kaohsiung, Taiwan. His research interests center around massive MIMO, compressed sensing, and smart grid.

Tutorial Title:
Molecular Communication: From Theory to Standard

Time: 09:00-12:30, Jul. 27, Wednesday
Room: Penang Meeting Room, Wangjiang Club 2F

Instructor(s):
Tadashi Nakano, Osaka University, Japan;
Yifan Chen, Southern University of Science and Technology, China

Over the past decade there has been considerable progress in the interdisciplinary field of nanoscale and molecular communication systems, motivated by rapid advances in NEMS, lab/process-on-a-chip, systems biology, as well as nanorobotics. Recent progress in this field has promised the prospect of realizing nanorobotic communication and sensor networks (NCSN), where the nanobots are both green (i.e., biocompatible and biodegradable) and touchable (i.e., externally controllable and trackable). All these attempts open up a new frontier for interdisciplinary communication techniques using robotics, chemistry, biology, and other principles that have not been considered in the existing classical literature. As this research area is still in its infancy and in view of its great potential for wireless communication and sensing, environmental, biological, medical, and many other applications, a tutorial on this topic would be very timely and relevant in order to raise awareness in this area and introduce the latest standardization efforts and R&D activities to the research community. We will cover all the topics mentioned above in the proposed tutorial.

The tutorial is organized as follows:

Part 1: Molecular Communication
1.Introduction to Molecular Communication (20 min)

1. Bionanomachines and Molecular Communication
2. Applications
3. History of Molecular Communication Research

2.Molecular Communication in Biology (10 min)
3.Engineered Molecular Communication (60 min)

1. Molecular Communication through Calcium Signaling (20 min)
2. Molecular Communication among Artificial Cells (20 min)
3. Bionanosensors Networks through Molecular Communication (20 min)

Part 2: Green Touchable Molecular Communication
1.Touchable Nanorobotic Communication & Sensing (20 min)
2.Green Nanorobotic Communication & Sensing (10 min)
3.Use Scenario: Contrast-enhanced Medical Imaging (20 min)

Part 3: IEEE Standardization Activities on Molecular Communication
1.IEEE Std 1906.1TM-2015 Recommended Practice for Nanoscale and Molecular Communication Framework (40 min)

Biography of the instructor(s):

Tadashi Nakano, Osaka University, Japan

Dr. Tadashi Nakano is an Associate Professor of the Institute for Academic Initiatives and a Visiting Associate Professor of the Graduate School of Biological Sciences, Osaka University, Japan. Dr. Nakano is also an associated editor of IEEE Transactions on Molecular, Biological and Multi-scale Communications (T-MBMC), an associate editor of IEEE Transactions on NanoBioscience (TNB), and an editor of Elsevier Nano Communication Networks. Dr. Nakano is the chair of the IEEE Emerging Technologies Subcommittee on nano-scale and molecular communication. Dr. Nakano has been engaged in research at the intersection of computer science and biology, including design, implementation, and evaluation of molecular communication systems, synthetic biological systems, and biologically inspired systems.

Yifan Chen, Southern University of Science and Technology, China

Dr. Yifan Chen is a Professor and Head of Department of Electrical and Electronic Engineering in Southern University of Science and Technology (SUSTech), Shenzhen. His current research interests include transient communications, nanoscale and molecular communications, electromagnetic medical imaging and diagnosis, and propagation channel modelling. Professor Chen is the Coordinator of a European Commission FP7 project on intelligent medical ICT, an elected Working Group Co-leader of European COST Action TD1301 on microwave medical imaging, a Voting Member of IEEE Standards Development Working Group 1906.1 on nanoscale and molecular communications, and an Editor for IEEE ComSoc Best Readings in Nanoscale Communication Networks. He also served as the Technical Symposium Chair of 2016 IEEE International Conference on Communications in China (ICCC).

Tutorial Title:
Vehicular Communications and Networking: The Gateway to Connected Mobility

Time: 14:00-17:30, Jul. 27, Wednesday
Room: Boya Meeting Room, Wufu Building 1F

Instructor(s):
Xiang Cheng, Peking University, China;
Liuqing Yang, Colorado State University, USA

Vehicular communications and networking is an area of significant importance in our increasingly connected and mobile world. In the past decade, this area has gained significant attention from both industry and academia for its potential of ensuring road safety, improving transportation efficiency and of enhancing travel quality. Vehicular environments are inherently challenging with doubly selective physical channels, constrained radio spectrum bandwidth resources, and constantly changing network connectivity and topology. As such, research in this area is essential for bringing to reality the many demanding vehicular applications that consist of the gateway towards the ultimate connected mobility. In this tutorial, fundamentals of vehicular channels will be comprehensively analyzed, based on which various practical communications and networking techniques will be introduced. Challenges and opportunities in this field will also be discussed to stimulate future research and development from various industry and academia sectors.

Biography of the instructor(s):

Xiang Cheng, Peking University, China

Dr. Xiang Cheng received the PhD degree from Heriot-Watt University and the University of Edinburgh, Edinburgh, U.K., in 2009, where he received the Postgraduate Research Thesis Prize. He has been with Peking University, Beijing, China, since 2010, first as a Lecturer, and then as an Associate Professor since 2012. His current research interests include mobile propagation channel modeling and simulation, next generation mobile cellular systems, intelligent transportation systems, and hardware prototype development. He has published more than 120 research papers in journals and conference proceedings. He received several best paper awards, including the IEEE International Conference on ITS Telecommunications (ITST 2012), the IEEE International Conference on Communications in China (ICCC 2013), and the 17th International IEEE Conference on Intelligent Transportation Systems (ITSC 2014). Dr. Cheng received the ”2009 Chinese National Award for Outstanding Overseas PhD Student” and the 10th 2015 IEEE Asia Pacific (AP) Outstanding Young Researcher Award for his academic excellence and outstanding performance. He has served as Symposium Leading-Chair, Co-Chair, and a Member of the Technical Program Committee for several international conferences. He is now an Associate Editor for IEEE Transactions on Intelligent Transportation Systems.

Liuqing Yang, Colorado State University, USA

Dr. Liuqing Yang received her Ph.D. degree in Electrical and Computer Engineering from the University of Minnesota, Minneapolis, in 2004. She is presently a Professor with Colorado State University. Her general interests are in signal processing with applications to communications, networking and power systems – subjects on which she has published more than 240 journal and conference papers, 3 book chapters and 1 book. Dr. Yang was the recipient of the Best Dissertation Award in the Physical Sciences & Engineering from the University of Minnesota in 2004, the Best Paper Award at the IEEE ICUWB’06, ICCC’13, ITSC’14, Globecom’14, and ICC’16, the ONR Young Investigator Program (YIP) award in 2007, and the NSF Faculty Early Career Development (CAREER) award in 2009. Dr. Yang is an IEEE Fellow. She has served as an active reviewer for more than 10 journals, as TPC chair/member for a number of conferences, and as an associate editor for IEEE Transactions on Signal Processing, IEEE Transactions on Communications, IEEE Transactions on Wireless Communications, IEEE Transactions on Intelligent Transportation Systems, IEEE Intelligent Systems, and PHYCOM: Physical Communication.

Tutorial Title:
Channel Characterization and Modeling of 5G Wireless Communication Systems

Time: 14:00-17:30, Jul. 27, Wednesday
Rom: Penang Meeting Room, Wangjiang Club 2F

Instructor(s):
Cheng-Xiang Wang, Heriot-Watt University, UK

The 5th generation (5G) wireless communication networks are required to support enhanced spectral efficiency, energy efficiency, peak data rate, mobility, etc. To meet these challenging requirements, 5G systems need to deploy dramatically new cellular architecture and key technologies, such as massive multiple-input multiple-output (MIMO), three-dimensional (3D) MIMO, millimetre wave (mmWave) communications, and vehicle-to-vehicle (V2V) communications. For the design, performance evaluation, and optimization of 5G wireless communication systems, realistic channel models with good accuracy-complexity-flexibility trade-off are indispensable. The proposed tutorial is intended to offer a comprehensive and in depth crash course to communication professionals and academics, aiming to address recent advances and future challenges for 5G related channel measurements and models. The tutorial will focus on illustrating the channel characteristics and models for four most challenging channel scenarios in 5G, i.e., massive MIMO, mmWave, V2V, and high-speed train communication channels. Also, a unified framework for 5G small-scale fading channel models is also proposed, extending from the 4G standardized channel model with additional features supporting 3D extension, mmWave bands, time evolution or non-stationarity, massive MIMO, high mobility, and V2V scenarios. This unified 5G channel model framework is expected to serve as a good basis for future standardized 5G channel model.

The tutorial is organized as follows:

1. 5G Wireless Communication Networks (30 minutes)

1. 5G requirements
2. 5G worldwide research activities & standardization efforts
3. 5G cellular architecture
4. 5G key transmission technologies (massive MIMO, mmWave communications, V2V/D2D, mobile femtocell, etc.)

2. 5G Channel Model Requirements (20 minutes)
3. Massive MIMO Channel Models (30 minutes)
4. mmWave Channel Measurements and Models (30 minutes)
5. V2V Channel Models (30 minutes)
6. High-Speed Train Channel Models (30 minutes)

Biography of the instructor(s):

Cheng-Xiang Wang, Heriot-Watt University, UK

Prof. Cheng-Xiang Wang received the BSc and MEng degrees in Communication and Information Systems from Shandong University, China, in 1997 and 2000, respectively, and the PhD degree in wireless communications from Aalborg University, Aalborg, Denmark, in 2004.

He has been with Heriot-Watt University, Edinburgh, UK since 2005, and was promoted to a Professor in Wireless Communications in 2011. He is also an Honorary Fellow of the University of Edinburgh, UK, and a Chair Professor of Shandong University, China. He was a Research Fellow at the University of Agder, Grimstad, Norway, from 2001-2005, a Visiting Researcher at Siemens AG-Mobile Phones, Munich, Germany, in 2004, and a Research Assistant at Technical University of Hamburg-Harburg, Hamburg, Germany, from 2000-2001. His current research interests include wireless channel modeling and 5G wireless communication networks. He has published 1 book, 1 book chapter, over 110 journal papers, and over 130 conference papers.

Prof. Wang served or is serving as an Editor for 9 international journals including IEEE Transactions on Vehicular Technology (since 2011), IEEE Transactions on Communications (since 2015), and IEEE Transactions on Wireless Communications (2007-2009). He was the leading Guest Editor for IEEE Journal on Selected Areas in Communications, Special Issue on Vehicular Communications and Networks. He is also a Guest Editor for IEEE Journal on Selected Areas in Communications, Special Issue on Spectrum and Energy Efficient Design of Wireless Communication Networks. He served or is serving as a General Chair, TPC Chair, and TPC member for over 80 international conferences. He received the Best Paper Awards from IEEE Globecom 2010, IEEE ICCT 2011, ITST 2012, IEEE VTC 2013-Fall, and IWCMC 2015. He is a Fellow of the IET and HEA, and a Senior Member of the IEEE.

Tutorial Title:
Recent Advances in Wireless Localization

Time: 09:00-12:30, Jul. 27, Wednesday
Room: Penang Island Meeting Room, Wangjiang Club 2F

Instructor(s):
Yuan Shen, Tsinghua University, China;
Guodong Zhao, University of Electronic Science and Technology of China, China;
Tingting Zhang, Harbin Institute of Technology, China

In this tutorial, we provide an overview for the recent advances in wireless localization, in particular from the physical-layer perspective of theory and algorithm design. Starting from the basic models and concepts of wireless localization, we overview the state-of-the-art results on non-cooperative and cooperative wireless localization. Then, we introduce network operation techniques for wireless localization in both noncooperative and cooperative scenarios. Emphasis will be given to resource-restricted wireless localization networks, and as an example, we will discuss joint power and bandwidth allocation for cooperative localization. Finally, we introduce recent advances in receiver positioning, where the full-duplex relay are used.

The tutorial is organized as follows:

1. Introduction (0.5 hour)

1. Motivation and background
2. System models for wireless localization
3. Common wireless Localization techniques

2. Theoretical Framework for Wireless Localization (1 hour)

1. Non-cooperative wireless localization
2. Spatiotemporal cooperative wireless localization
3. Localization with antenna arrays

3. Joint Power and Spectrum Allocation for wireless localization (45 min)

1. Joint power and bandwidth allocation (JPBA)
2. JPBA for asynchronous cooperative localization networks
3. Joint power, bandwidth and carrier allocation

4. Non-Cooperative Receiver Positioning Techniques (45 min)

1. Motivation and Backgrounds
2. TDOA-Based Proactive Receiver Positioning

Biography of the instructor(s):

Yuan Shen, Tsinghua University, China

Yuan Shen (S’05-M’14) received the Ph.D. degree and S.M. degree in electrical engineering and computer science from the Massachusetts Institute of Technology, Cambridge, MA USA, in 2014 and 2008, respectively, and the B.E. degree in electronic engineering from Tsinghua University, Beijing, China, in 2005. He is an Associate Professor with the Department of Electronic Engineering at Tsinghua University. Prior to that, he was a research assistant and then postdoctoral associate at MIT in 2005-2014. His research interests include statistical inference, network science, control and optimization, communication theory, and information theory. His current research focuses on network localization and navigation, inference techniques, resource allocation, intrinsic wireless secrecy, and cooperative networks.

Dr. Shen was a recipient of the Qiu Shi Outstanding Young Scholar Award (2015), the China’s Youth 1000-Talent Program (2014), the Marconi Society Paul Baran Young Scholar Award (2010). His papers received the IEEE ComSoc Fred W. Ellersick Prize (2012) and the Best Paper Awards from the IEEE Globecom (2011), ICUWB (2011), and WCNC (2007). He is elected Secretary (2015–2017) for the IEEE ComSoc Radio Communications Technical Committee. He serves as symposium TPC Co-Chair for the IEEE Globecom (2016), the EUSIPCO (2016), and the IEEE ICC Workshop on Advanced Network Localization and Navigation (2016), and also as a TPC member for various international conferences. He also serves as an Editor for the IEEE COMMUNICATIONS LETTERS since 2015 and Guest-Editor for the INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS.

Guodong Zhao, University of Electronic Science and Technology of China, China

Guodong Zhao received the Ph.D. Degree from Beihang University, Beijing, China, in 2011 and the B.E. degree from Xidian University, Xi’an, China, in 2005, both in electrical engineering. 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, in particular in cognitive radio and localizations. He published about 30 papers in IEEE journals and conferences. He received the best paper award from IEEE Global Telecommunication Conference (GLOBECOM) and the best Ph.D. thesis award from Beihang University both in 2012. He served as a TPC at many international conferences, e.g., ICC and VTC. He also served a reviewer in many IEEE transactions, e.g., IEEE Transactions on Signal Processing and IEEE Journal on Selected Areas in Communications.

Tutorial Title:
Networks and Devices Revolution for 5G: Fundamentals and Recent Advances

Time: 14:00-17:30, Jul. 27, Wednesday
Room: Sentosa Meeting Room, Wangjiang Club 4F

Instructor(s):
Tony Q. S. Quek, Singapore University of Technology and Design, Singapore;
Yi Zhong, Singapore University of Technology and Design, Singapore

With 4G cellular technologies now beginning to be deployed widely around the world, the fifth generation (5G) mobile and wireless communication technologies are emerging into research fields. New services, applications and devices will drive requirements on data rate, ubiquity of data services, latency, cost, and reliability and further drive data traffic growth. Networks, services, and devices will be more heterogeneous and the need to connect billions of devices to the network will emerge. Despite the advances made in the design and evolution of 4G cellular networks, these new market trends are imposing unprecedentedly challenging requirements, which are driving us further to the necessity of a 5G mobile network. In this tutorial, we will introduce the targets and technical challenges in 5G networks and discuss the different networks and devices revolution that are essential to meet these challenges. In addition, we will provide a fundamental understanding and design of 5G networks through the effective use of these new network architectures and device capabilities. In conclusion, we will provide some recent advances in the research of 5G.

Biography of the instructor(s):

Tony Q. S. Quek, Singapore University of Technology and Design, Singapore

Tony Q.S. Quek (S’98-M’08-SM’12) received the B.E. and M.E. degrees in Electrical and Electronics Engineering from Tokyo Institute of Technology, Tokyo, Japan, respectively. At Massachusetts Institute of Technology, he earned the Ph.D. in Electrical Engineering and Computer Science. Currently, he is an Assistant Professor with the Information Systems Technology and Design Pillar at Singapore University of Technology and Design (SUTD). He is also a Scientist with the Institute for Infocomm Research. His current research topics include heterogeneous networks, green communications, smart grid, wireless security, internet-of-things, big data processing, and cognitive radio. Dr. Quek has been actively involved in organizing and chairing sessions, and has served as a member of the Technical Program Committee as well as symposium chairs in a number of international conferences. He is currently an Editor for the IEEE TRANSACTIONS ON COMMUNICATIONS and an Executive Editorial Committee Member for the IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS. He was honored with the 2008 Philip Yeo Prize for Outstanding Achievement in Research, the IEEE Globecom 2010 Best Paper Award, the 2012 IEEE William R. Bennett Prize, the IEEE SPAWC 2013 Best Student Paper Award, the IEEE WCSP 2014 Best Paper Award, the IEEE PES General Meeting 2015 Best Paper, and the 2015 SUTD Outstanding Education Awards – Excellence in Research.

Yi Zhong, Singapore University of Technology and Design, Singapore

Yi Zhong (S’11-M’15) received his B.S. and Ph.D. degree in electronic engineering from the University of Science and Technology of China (USTC), Hefei, China, in 2010 and 2015, respectively. From August to December 2012, he was a visiting student in Prof. M. Haenggi’s group with the University of Notre Dame, Notre Dame, IN, USA. From July to October 2013, he was an intern with Qualcomm Incorporated, Corporate Research and Development, Beijing. He is currently a Post-doctoral Research Fellow with the Singapore University of Technology and Design, Singapore, in the WNDS group led by Prof. T.Q.S. Quek. His research interests include heterogeneous and femtocell-overlaid cellular networks, wireless ad hoc networks, stochastic geometry, and point process theory.

Tutorial Title:
New Type Non-orthogonal Multiple Access for 5G Networks

Time: 14:00-17:30, Jul. 27, Wednesday
Room: Penang Island Meeting Room, Wangjiang Club 2F

Instructor(s):
Wen Chen, Shanghai Jiao Tong University, China

The demands on massive connectivity, large capacity and short delay 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 technologies such as sparse code multiple access (SCMA) proposed by Huawei, multiuser shared access (MUSA) proposed by ZTE proposed and pattern division multiple access (PDMA) proposed by Datang 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 sparse code multiple access (SCMA), where I will majorly focus on the codebook design, sparse channel estimation, and decoder design. Meanwhile I will address some related problems such as grant free access, energy efficiency, intercell interference mitigation and capacity analysis 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.

Biography of the instructor(s):

Wen Chen, Shanghai Jiao Tong University, China

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 SJTU Intelligent Property Management Corporation. His interests cover physical layer communications and cross layer design of communication systems, in which area, he has published more than 70 IEEE journal papers and more than 100 IEEE conference papers.

Prof. Chen received the InnovateAsia 5G Competition Award for contribution in sparse code multiple access in 2015, the WCSP2015 best paper award, and 2015 Shanghai outstanding thesis supervision award. 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, a New Century Excellent Scholars in China, and awarded the Ariyama Memorial Award.

Prof. Chen has organized many IEEE sponsored conferences. He is the general chairs of IEEE HMWC2013, WiMob2011, ICIS2011, 2010, 2009, ISISE2010, 2009, 2008, WCNIS2010, the TPC chairs of IEEE WiMob 2012, ICCT2012, ICCSC2008, and served many conferences as TPC members.

Tutorial Title:
NOMA: A Promising Multiple Access Technique for 5G and Beyond

Time: 14:00-17:30, Jul. 27, Wednesday
Room: Brunei Meeting Room, Wangjiang Club 2F

Instructor(s):
Zhiguo Ding, Lancaster University, UK

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 (3GPPLTE) 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, and the impact of practical constraints, such as imperfect channel state information and limited feedback, on the performance of NOMA.

Biography of the instructor(s):

Zhiguo Ding, Lancaster University, UK

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. 2016, he has also been an academic visitor in Princeton University.

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 Technology, IEEE Wireless Communication Letters, IEEE Communication Letters, and Journal of Wireless Communications and Mobile Computing. He is also the leading Guest Editor for the special issue on Non-orthogonal Multiple Access for 5G Systems, at IEEE Journal on Selected Areas in Communications. 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.

Tutorial Title:
Full-Duplex Communications and Networks

Time: 09:00-12:30, Jul. 27, Wednesday
Room: Brunei Meeting Room, Wangjiang Club 2F

Instructor(s):
Lingyang Song, Peking University, Beijing
Zhu Han, University of Houston, Houston

Almost all currently deployed radios for wireless communications are operated in the half-duplex mode. The recent significant progress in realizing full-duplex (FD) systems has opened up another promising avenue for increasing the capacity of future wireless networks. There is an urgent need to address the diverse set of challenges regarding different aspects of FD network design, theory, and development. In addition to the self-interference cancelation signal processing algorithms and hardware implementation advancement, network protocols such as resource management are also essential in the practical design and implementation of FD wireless networks. This tutorial aims to present the latest development and future directions from physical, MAC, to application layers for different full duplex systems in different domains, including power, space, frequency, and device dimensions. A few representative application scenarios through FD techniques are considered: FD MIMO, FD cooperative systems, FD OFDMA cellular systems, and FD cognitive radio systems. Novel signal processing algorithms and resource management problems in these systems are presented, and key open research directions are discussed.

The tutorial is organized as follows:

Basic of FD Communication – presents the basics and recent progress in applying signal processing techniques to design FD communication systems.
1. Overview of wireless communication network evolution
2. Physical-layer transmission technologies: signal model, self-interference cancellation techniques
3. Key working and application scenarios
4. Implementation issues

Resource Allocation – discusses the use of optimization and distributed resource allocation such as game theory to theory to analyze and design wireless networks for FD communication networks.

Potential Applications in FD communication networks– apply FD concepts into various wireless systems to enable new applications and services.
1. FD for cognitive radio
2. FD for energy harvesting
3. FD for physical-layer security

Biography of the instructor(s):

Lingyang Song, Peking University, Beijing

Lingyang Song received his PhD from the University of York, UK, in 2007, where he received the K. M. Stott Prize for excellent research. He worked as a postdoctoral research fellow at the University of Oslo, Norway, and Harvard University, until rejoining Philips Research UK in March 2008. In May 2009, he joined the School of Electronics
Engineering and Computer Science, Peking University, China, as a full professor. His main research interests include cooperative and cognitive communications, physical layer security, and wireless ad hoc/sensor networks.

He published extensively, wrote 6 text books, and is co-inventor of a number of patents (standard contributions). He received eight paper awards in IEEE international conferences including IEEE WCNC 2012, ICC 2014, Globecom 2014, and ICC 2015. He is currently on the Editorial Board of IEEE Transactions on Wireless Communications and Journal of Network and Computer Applications. He served as the TPC co-chairs for the International Conference on Ubiquitous and Future Networks (ICUFN2011/2012), symposium co-chairs in the International Wireless Communications and Mobile Computing Conference (IWCMC 2009/2010), IEEE International Conference on Communication Technology (ICCT 2011), and IEEE International Conference on Communications (ICC 2014, 2015).He is the recipient of 2012 IEEE Asia Pacific (AP) Young Researcher Award. Dr. Song is a senior member of IEEE, and IEEE ComSoc distinguished lecturer since 2015.

Zhu Han, University of Houston, Houston

Zhu Han (S’01–M’04-SM’09-F’14) received the B.S. degree in electronic engineering from Tsinghua University, in 1997, and the M.S. and Ph.D. degrees in electrical and computer engineering from the University of Maryland, College Park, in 1999 and 2003, respectively.

From 2000 to 2002, he was an R&D Engineer of JDSU, Germantown, Maryland. From 2003 to 2006, he was a Research Associate at the University of Maryland. From 2006 to 2008, he was an assistant professor at Boise State University, Idaho. Currently, he is a Professor in the Electrical and Computer Engineering Department as well as in the Computer Science Department at the University of Houston, Texas. His research interests include wireless resource allocation and management, wireless communications and networking, game theory, big data analysis, security, and smart grid. Dr. Han received an NSF Career Award in 2010, the Fred W. Ellersick Prize of the IEEE Communication Society in 2011, the EURASIP Best Paper Award for the Journal on Advances in Signal Processing in 2015, IEEE Leonard G. Abraham Prize in the field of Communications Systems (best paper award in IEEE JSAC) in 2016, and several best paper awards in IEEE conferences. Currently, Dr. Han is an IEEE Communications Society Distinguished Lecturer.