IEEE/CIC International Conference on Communications in China
16-18 August 2018 – Beijing, China


Tutorial Title:

Challenges and Solutions for LTE and 5G based V2X Communications (pdf)


Yi Qian, Ph.D.
Department of Electrical and Computer Engineering University of Nebraska‐Lincoln

A wide variety of work has been down in vehicle‐to‐everything (V2X) communications to enable various applications for road safety, traffic efficiency and passenger infotainment. Although IEEE 802.11p used to be considered as the main technology for V2X, new research trends nowadays are considering cellular technology as the future of V2X due to its rapid development and ubiquitous presence. This tutorial surveys the recent development and challenges on 4G LTE and 5G mobile wireless networks to support efficient V2X communications. In the first part, we highlight the technical motivations of 4G LTE for V2X communications. In the second part, we explore the LTE V2X architecture and operating scenarios being considered. In the third part, we discuss the challenges and the new trends in 4G and 5G for supporting V2X communications such as physical layer structure, synchronization, resource allocation, security, multimedia broadcast multicast services (MBMS), as well as possible solutions to these challenges. Finally, we discuss some open research issues for future 5G based V2X communications.

The tutorial is organized as follows (Intended length of the tutorial: half-day):

1).Motivation for 4G LTE based V2X Communications (20 minutes)

  • DSRC based V2X communications
  • LTE based V2X communications and the advantages

2).LTE V2X infrastructure and operating scenarios (60 minutes)

  • 4G LTE V2X communication model
  • 3GPP LTE V2X communication architecture
  • Operating scenarios

3).Challenges and solutions in 4G and 5G for supporting V2X communications (60 minutes)

  • Physical layer structure
  • Synchronization
  • Resource allocation
  • Security and privacy
  • Multimedia broadcast multicast services

4).Open research issues for future 5G based V2X communications (30 minutes)

  • Emerging 5G technologies and V2X communications
  • Vehicular cloud computing
  • Vehicular fog computing
  • Security and privacy in 5G V2X communications

5).Conclusion (10 minutes)

Biography of the instructor(s):

Yi Qian (M’95–SM’07) is a professor in the Department of Electrical and Computer Engineering, University of Nebraska‐Lincoln (UNL). Prior to joining UNL, he worked in the telecommunications industry, academia, and the government. His research interests include information assurance and network security, network design, network modeling, simulation and performance analysis for next generation wireless networks, wireless ad‐hoc and sensor networks, vehicular networks, smart grid communication networks, broadband satellite networks, optical networks, high‐speed networks and the Internet. He is serving on the editorial board for several international journals and magazines, including serving as the Associate Editor‐in‐Chief for IEEE Wireless Communications Magazine. He was the Chair of IEEE Communications Society Technical Committee for Communications and Information Security 2014‐2015. He is the Technical Program Committee Chair for IEEE ICC 2018. He is a Distinguished Lecturer for IEEE Vehicular Technology Society & a Distinguished Lecturer for IEEE Communications Society.

Prof. Qian received the Henry Y. Kleinkauf Family Distinguished New Faculty Teaching Award in 2011, and the Holling Family Distinguished Teaching Award in 2012, both from University of Nebraska‐Lincoln. In the recent years, he has been a frequent speaker on many topics in his research areas in various venues and forums, as a keynote speaker, a tutorial presenter, and an invited lecturer.


Tutorial Title:

Wireless Channel Models and Standards Development for 5G and Beyond (pdf)


Prof. Cheng-Xiang Wang,
FIEEE, FIET Institute of Sensors, Signals and Systems School of Engineering & Physical Sciences Heriot-Watt University
Edinburgh EH14 4AS, U.K.
Tel: +44 131 4513329
Fax: +44 131 4514155

To meet the challenging requirements of supporting greatly enhanced spectrum efficiency, energy efficiency, data rate, connection density, and mobility, as well as reduced latency, fifth generation (5G) wireless communication networks need to employ dramatically new network architecture and key technologies. These include massive multiple-input multiple-output (MIMO), millimetre wave (mmWave) communications, high-speed train (HST) communications, vehicle-to-vehicle (V2V) communications, and ultra-dense networks. The standardization activities of 5G wireless communication networks are still going on, with a full-scale rollout projected in the next few years. However, forthcoming releases of 5G will not fully be able to meet all diverse, but often contradictory requirements, of the future. Beyond 5G (B5G) networks, expected to be developed over the next decade, will have to offer higher data rates, improved coverage, and better cost efficiency, resource utilization, security, adaptability, and scalability, as compared to 5G.

For the design, performance evaluation, and optimization of 5G and B5G 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 (B)5G channel measurements and models. The tutorial will start with illustrating the evolution of wireless channel models from 2G to 5G. New channel characteristics are then analyzed for some challenging 5G scenarios, including massive MIMO, millimetre wave, V2V, and HST communication channels. We will also review 9 standard 5G channel models in terms of their capabilities and drawbacks. A more general three-dimensional (3D) non-stationary 5G channel model is proposed, extending from the 4G standardized WINNER II channel model with additional features supporting 3D extension, mmWave bands, space-time non-stationarity, massive MIMO, high mobility, and V2V scenarios. It is shown that the proposed 5G channel model has statistical properties agreeing well with corresponding channel measurements and is expected to serve as a good basis for future standardized (B)5G channel models. Future research challenges and trends for (B)5G channel measurements and models will be discussed in the end of the tutorial.

The tutorial is organized as follows (Intended length of the tutorial: half-day):

1)  5G Requirements, Cellular Architecture, and Key Technologies

2)  Evolution of Wireless Channel Models from 2G to 5G

3)  5G Channel Model Requirements and New Channel Characteristics

4)  Massive MIMO Channel Measurements and Models

5)  mmWave Channel Measurements and Models

6)  V2V Channel Measurements and Models

7)  High-Speed Train Channel Measurements and Models

8)  9 Standardized 5G Channel Models

9)  A More General 3D Non-Stationary 5G Channel Model

10)  Future Research Challenges and Trends for (B)5G Communications and Channel Models

11)  Conclusions

Biography of the instructor(s):

Cheng-Xiang Wang (S’01–M’05–SM’08-F’17) 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, Denmark, in 2004. He has been with Heriot-Watt University, Edinburgh, UK since 2005, where he was promoted to Professor in 2011. He will join Southeast University, China, as a Professor and 1000 Talent Plan Expert in late 2018. 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 Hamburg University of Technology, Hamburg, Germany, from 2000-2001. His current research interests focus on wireless channel modelling and (B)5G wireless communication networks. He has published 2 books, 1 book chapter, over 150 journal papers, and over 170 conference papers. He gave 10 invited keynote/plenary speeches and 5 tutorials at international conferences/workshops, and numerous invited talks.

Prof. Wang has served as an editor for 9 international journals, including the IEEE TVT (since 2011), IEEE TCOM (since 2015), and IEEE TWC (2007-2009). He was the lead Guest Editor for the IEEE JSAC, Special Issue on Vehicular Communications and Networks. He was also a Guest Editor for the IEEE JSAC, Special Issue on Spectrum and Energy Efficient Design of Wireless Communication Networks and Special Issue on Airborne Communication Networks, and a Guest Editor for the IEEE TBD, Special Issue on Wireless Big Data. He has served as a TPC Member, TPC Chair, and General Chair for over 80 international conferences. He received 9 Best Paper Awards from IEEE Globecom 2010, IEEE ICCT 2011, ITST 2012, IEEE VTC 2013-Spring, IWCMC 2015, IWCMC 2016, IEEE/CIC ICCC 2016, and WPMC 2016. He is a Fellow of the IEEE and IET. He is recognized as a Web of Science 2017 Highly Cited Researcher.


Tutorial Title:

Invoking Emerging Analytical Tools for NOMA: Matching Theory, Stochastic Geometry and Machine Learning (pdf)


Arumugam Nallanathan,
Head of Communication System Group
School of EECS, Queen Mary University of London, E1 4NS, UK.

Zhiguo Ding
School of Computing and Communications, Lancaster University, LA1 4YW, UK.

Yuanwei Liu,
School of EECS, Queen Mary University of London, E1 4NS, UK.

Mobile data traffic, especially mobile video traffic and small-size IoT packets, has dramatically increased in recent years with the emergence of smart phones, tablets, and various new applications. It is hence crucial to increase network capacity to accommodate these bandwidth consuming applications and services. Non-orthogonal multiple access (NOMA), which has been recently proposed for the 3rd generation partnership projects long-term evolution advanced (3GPP-LTE-A), constitutes a promising technology of enhancing the spectral efficiency and achieving massive connectivity challenges in 5G networks by accommodating several users within the same orthogonal resource block, via multiplexing at different power levels. By doing so, significant spectral efficiency enhancement can be attained over conventional orthogonal multiple access (OMA) techniques. The aim of the tutorial is to provide an introduction for NOMA for addressing three critical issues, which are compatibility, security and sustainability, combining with some of our research contributions in this field. More importantly, emerging analytical tools, such as matching theory, stochastic geometry, and machine learning are invoked to study NOMA. This tutorial will take a comprehensive and coordinated approach in presenting the ways of realizing the potential advantages for NOMA in next general wireless systems and identify promising research opportunities for the future.

The tutorial is organized as follows (Intended length of the tutorial: half-day):

1).Background and Basics for Wireless Communications – present the basics, challenges, recent progress, and open issues for next generation communication systems:

  • Brief History of Wireless Standardization: provide a comprehensive overview of the mobile communication evolutions with the focus on the state-of-the-art of multiple access techniques;
  • Challenges: present new requests, open issues and research challenges for next generation mobile communications;
  • Key solutions for multiple access: survey the most important technological solutions for non-orthogonal multiple access.

2).NOMA Basics – discuss the Basic Principles of power-domain NOMA.

  • Key Techniques of NOMA
  • Identifying OMA and NOMA
  • Main advantages of NOMA
  • Investigating NOMA from an Information Theoretic Perspective
  • Downlink and Uplink NOMA Transmission

3).NOMA Combined with Multiple Antennas Techniques – present the application of multiple antenna techniques on NOMA

  • Cluster-Based MIMO-NOMA
  • Beamformer-Based MIMO-NOMA
  • Massive-MIMO-NOMA

4).Interplay between NOMA and Cooperative Communications – present promising cooperative NOMA technologies and the application of NOMA in cooperative networks.

  • Cooperative NOMA
  • NOMA in Cooperative Transmission Based Networks

5).Resource Management in NOMA Networks – present resource controlling in terms of power controlling and user/resource allocation.

  • Power Allocation for NOMA
  • User Scheduling in Dynamic Cluster/Pair Based Hybrid MA Networks
  • Software-Defined NOMA Network Architecture

6).NOMA Invoking Other Technologies towards 5G – consider co-existence of NOMA with other 5G proposals

  • NOMA in HetNets
  • NOMA in Millimeter Wave Communications
  • NOMA and Cognitive Radio Networks
  • NOMA-Based Device-to-Device Communication

7).Implementation Challenges and Standardization of NOMA – identify some implementation issues and corresponding potential solving approaches

  • Error Propagation in SIC
  • Channel Estimation Error and Complexity for NOMA
  • Security Provisioning for NOMA
  • Maintaining the Sustainability of NOMA with RF Wireless Power Transfer
  • State-of-the-art for Standardization of NOMA

8).Practical Forms of NOMA – classify the practical forms of NOMA also into single-carrier and multiple-carrier NOMA

  • Single-Carrier NOMA
  • Multi-Carrier NOMA

Biography of the instructor(s):

Arumugam Nallanathan (S’97-M’00-SM’05-F’17) is Professor of Wireless Communications and Head of the Communication Systems Research (CSR) group in the School of Electronic Engineering and Computer Science at Queen Mary University of London since September 2017. He was with the Department of Informatics at King’s College London from December 2007 to August 2017, where he was Professor of Wireless Communications from April 2013 to August 2017 and a Visiting Professor from September 2017. He was an Assistant Professor in the Department of Electrical and Computer Engineering, National University of Singapore from August 2000 to December 2007. His research interests include 5G Wireless Networks, Internet of Things (IoT) and Molecular Communications. He published more than 350 technical papers in scientific journals and international conferences. He is a co-recipient of the Best Paper Award presented at the IEEE International Conference on Communications 2016 (ICC2016) and IEEE International Conference on Ultra-Wideband 2007 (ICUWB 2007). He is an IEEE Distinguished Lecturer. He has been selected as a Web of Science (ISI) Highly Cited Researcher in 2016. He is an Editor for IEEE Transactions on Communications. He was an Editor for IEEE Transactions on Wireless Communications (2006-2011), IEEE Transactions on Vehicular Technology (2006-2017), IEEE Wireless Communications Letters and IEEE Signal Processing Letters. He served as the Chair for the Signal Processing and Communication Electronics Technical Committee of IEEE Communications Society and Technical Program Chair and member of Technical Program Committees in numerous IEEE conferences. He received the IEEE Communications Society SPCE outstanding service award 2012 and IEEE Communications Society RCC outstanding service award 2014.

Zhiguo Ding (S’03-M’05) 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. From Oct. 2012 to Sept. 2018, 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, and Journal of Wireless Communications and Mobile Computing, and was an Editor for IEEE Wireless Communication Letters, IEEE Communication Letters from 2013 to 2016. He received the best paper award in IET Comm. Conf. on Wireless, Mobile and Computing, 2009, IEEE Communication Letter Exemplary Reviewer 2012, and the EU Marie Curie Fellowship 2012-2014.

Yuanwei Liu (S’13, M’16) received the Ph.D. degree in Electrical Engineering from the Queen Mary University of London, U.K., in 2016. Before that, He received the B.S. and M.S. degrees from the Beijing University of Posts and Telecommunications in 2011 and 2014, respectively. He has been a Lecturer (Assistant Professor) with the School of Electronic Engineering and Computer Science, Queen Mary University of London, since 2017. He was with the Department of Informatics, King’s College London, from 2016 to 2017, where he was a Post-Doctoral Research Fellow. His research interests include 5G wireless networks, Internet of Things, stochastic geometry, and matching theory. He received the Exemplary Reviewer Certificate of the IEEE WIRELESS COMMUNICATION LETTERS in 2015 and the IEEE TRANSACTIONS ON COMMUNICATIONS in 2017. He has served as a TPC Member for many IEEE conferences, such as GLOBECOM and ICC. He currently serves as an Editor of the IEEE COMMUNICATIONS LETTERS and the IEEE ACCESS.


Tutorial Title:

Spatiotemporal Modeling in Wireless Networks: Analysis and Applications (pdf)


Prof. Tony Q. S. Quek, Ph.D,
Associate Professor,
Singapore University of Technology and Design,

Howard H. Yang, Ph.D,
Postdoctoral Research Fellow,
Singapore University of Technology and Design,

The fifth-generation wireless network is coming into reality. Along with the rapid progress of wireless industry, conventional macro base stations are now overlaid by another tier consists of access points that are small size, low power, and densely deployed. Such heterogeneous network architecture reduces the distance between transmitters and receivers, and, with an upgraded transmission scheme, e.g., the millimeter wave communication, at the base stations, will greatly boost up data rate, enlarge capacity, and reduce transmission delay. As a result, a number of new techniques are emerging, including the Internet-of-Things (IoT), autonomous vehicles, and Unmanned Aerial Vehicles (UAVs). In addition to the increasing volume of the connected devices, the content flowing through the network is also largely switching from the traditional text/voice messages to multimedia-oriented applications. These new trends not just flourish the blossom of wireless industry, but also impose many challenges for the network operators, e.g., how to connect a vast amount of devices while still guarantee the delay to be within certain range across the network, especially when there are high degrees of fluctuations in both spatial and temporal domain.

Before any adequate response can be given, the primary requirement for network operators will be to attain a full understanding of the joint effect from two fundamental aspects of wireless network, i.e., the spatial locations of base stations and the temporal dynamic of traffic, because the former determines the deployment strategy and the latter affects the employed transmission technology. Conventionally, the impacts related to topological aspect in wireless network has been well investigated by leveraging tools from stochastic geometry, and the temporal traffic dynamics are thoroughly explored via the models based on queuing theory. However, neither of these tools allows one to take into account the effect from the other domain, and hence they lack a complete treatment in the modeling purpose. On the other hand, with the dense deployment of access points, temporal dynamic of different transmitters are highly coupled, i.e., the activation or silence of one base station can affect the queueing status of base station located in proximity to it, which in turns will change the related delay. As such, purely understanding the impact from one single dimension of the network, either it is spatial or temporal, is not sufficient, and both the academic and industry are calling for a model that is able to simultaneously capture the impact from both spatial and temporal aspects. In this tutorial, we will first provide the background about basic models for wireless networks in spatial and temporal domain. Based upon these models, we will elaborate in details on several advanced improvements that end up in useful spatiotemporal network models. We will also introduce different applications of the spatiotemporal model, that facilitates the design of various wireless technologies.

The tutorial is organized as follows (Intended length of the tutorial: half-day):

The tutorial is mainly divided into three parts. In the first part, we introduce the necessary background about spatiotemporal wireless network modeling, where we mainly discuss the current progress based on queuing network and the basic results from stochastic geometry, as well as the limitations of these tools. In the second part, we will introduce three different modeling schemes that were recently proposed, including the bounding approach based on favorable/dominant system argument, the Geo/PH/1 queue modeling, light-traffic steady state approximation, and the recently proposed meta-distribution based modeling. In the last part, by adopting the spatiotemporal modeling result, we discuss the design of clustering in Dynamic TDD systems, delay analysis of different traffic scheduling schemes in small cell networks, and traffic-aware base station association schemes. Throughout this tutorial, the goal is to introduce the spatiotemporal modeling method and extend its applications into the design of future wireless systems.

Biography of the instructor(s):

Tony Q. S. Quek (S’98-M’08-SM’12-F’18) 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 (MIT), Cambridge, MA, he earned the Ph.D. in Electrical Engineering and Computer Science. Currently, he is a tenured Associate Professor with the Singapore University of Technology and Design (SUTD). He also serves as the Associate Head of ISTD Pillar and the Deputy Director of SUTD-ZJU IDEA. His current research topics include wireless communications and networking, security, big data processing, network intelligence, and IoT. Dr. Quek has been actively involved in organizing and chairing sessions, and has served as a TPC member in numerous international conferences. He is currently an elected member of the IEEE Signal Processing Society SPCOM Technical Committee. He was an Executive Editorial Committee Member of the IEEE Transactions on Wireless Communications, an Editor of the IEEE Transactions on Communications, and an Editor of the IEEE Wireless Communications Letters. He is a co-author of the book “Small Cell Networks: Deployment, PHY Techniques, and Resource Allocation” published by Cambridge University Press in 2013 and the book “Cloud Radio Access Networks: Principles, Technologies, and Applications” by Cambridge University Press in 2016. Dr. Quek received 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 2016 IEEE Signal Processing Society Young Author Best Paper Award, 2017 CTTC Early Achievement Award, 2017 IEEE ComSoc AP Outstanding Paper Award, and 2017 Clarivate Analytics Highly Cited Researcher. He is a Distinguished Lecturer of the IEEE Communications Society and a Fellow of IEEE.

Howard H. Yang (S’13–M’17) received the B.Sc. degree in Communication Engineering from Harbin Institute of Technology (HIT), China, in 2012, and the M.Sc. degree in Electronic Engineering from Hong Kong University of Science and Technology (HKUST), in 2013. He earned the Ph.D. degree in Electronic Engineering from Singapore University of Technology and Design (SUTD), in 2017. From Aug. 2015 to Mar. 2016, he was a visiting student in the WNCG under supervisor of Prof. Jeffrey G. Andrews at the University of Texas at Austin. Dr. Yang is now a Postdoctoral Research Fellow with Singapore University of Technology and Design in the Wireless Networks and Decision Systems (WNDS) group led by Prof. Tony Q. S. Quek. His research interests cover various aspects of wireless communications, networking, and signal processing, currently focusing on energy-efficient heterogeneous networks, small cells, massive MIMO systems, and graph signal processing. He received the IEEE WCSP Best Paper Award in 2014.


Tutorial Title:

Recent Advances in Wireless Localization (pdf)


Yuan Shen
Associate Professor,
Dept. Electronic Engineering
Tsinghua University, Beijing 100084, China

Guodong Zhao
Associate Professor,
National Key Lab. Commun.
Univ. of Electronic Sci. and Tech. of China (UESTC), Chengdu, 611731

China Tingting Zhang
Associate Professor, Communication Engineering Research Center,
Shenzhen Graduate School, Harbin Institute of Technology (HIT),
Shenzhen, 518055, 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 cooperative network localization and array-based network localization. Then, we introduce network operation techniques for efficient wireless localization in both noncooperative and cooperative scenarios. A typical example is then discussed to preserve location privacy using proper power allocation strategies. High accuracy and efficient vehicle localization methods are also discussed. Finally, we introduce the recent advances in PHY-layer security in wireless localization.

The tutorial is organized as follows (Intended length of the tutorial: half-day):

1).Introduction (0.5 hour)

  • Motivation and background
  • System models for wireless localization
  • Common wireless localization techniques

2).Theoretical Framework for Wireless Localization (1 hour)

  • Non-cooperative wireless localization
  • Spatiotemporal cooperative wireless localization
  • Localization with antenna arrays

3).Joint Power and Spectrum Allocation for wireless localization 0.75 hour)

  • Joint power and bandwidth allocation (JPBA)
  • JPBA for asynchronous cooperative localization networks
  • Location privacy protection using resource allocation approaches.

4).Physical Layer Security in Wireless Localization (0.75 hour)

  • Motivation and Backgrounds
  • PHY-layer spoofing attack detection and localization

Biography of the instructor(s):

Yuan Shen (M’14) received the B.E. degree in EE from Tsinghua University in 2005 and the S.M. and Ph.D. degrees in EECS from MIT in 2008 and 2014, respectively. He is an Associate Professor at the Department of Electronic Engineering, Tsinghua University. His current research focuses on network localization and navigation, inference techniques, resource allocation, and multi-agent systems. He was a recipient of the Qiu Shi Outstanding Young Scholar Award, the China’s Youth 1000-Talent Program, the Marconi Society Paul Baran Young Scholar Award, and the MIT Walter A. Rosenblith Presidential Fellowship. His papers received the IEEE ComSoc Fred W. Ellersick Prize and three Best Paper Awards from IEEE international conferences. He is an elected Vice Chair (2017-2018) and Secretary (2015-2016) for the IEEE ComSoc Radio Communications Committee. He serves as TPC symposium Co-Chair for the IEEE Globecom (2016, 2018), the EUSIPCO 2016, and the IEEE ICC ANLN Workshop (2016, 2017, 2018). He also serves as Editor for the IEEE Transactions on Wireless Communications (since 2018), IEEE Wireless Communications Letters (since 2018), and IEEE China Communications (since 2017), IEEE Communications Letters (2015-2018), and served as Guest Editor for the International Journal of Distributed Sensor Networks (2015).

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.

Tingting Zhang (M’12) received the B.S. (with honors) and Ph.D. degrees in electronic engineering from Harbin Institute of Technology (HIT), Harbin, China, in 2003 and 2009, respectively. He is currently an Associate Professor and Ph. D advisor with HIT Shenzhen, Shenzhen, China. In 2009 to 2012 he was a postdoctoral research fellow with the Communication Engineering Research Center, HIT Shenzhen. In 2012 to 2014, he was with the Department of Electronic Engineering, University of Southern California, Los Angeles, CA, USA, as a visiting scholar. His current research interests include network localization, vehicular communications, navigation and intelligent transportation, etc. Dr. Zhang serves as the TPC member for several international conferences, such as ICC, GLOBECOM, ICCC, and VTC. He is also the reviewer of numerous academic journals, such as IEEE JSAC, TWC, TVT, etc. He is a Senior Member of China Institute of Communications (CIC). He received the Outstanding Postdoctoral Award of HIT, Shenzhen Graduate School in 2011. He also received Shenzhen High Level Talent Program award in 2012.


Tutorial Title:

Generalized Sparse and Low-Rank Optimization for Ultra-Dense Networks: Models, Algorithms and Theory (pdf)


Jun Zhang,
The Hong Kong University of Science and Technology,
Hong Kong, China

Yuanming Shi,
ShanghaiTech University,
Shanghai, China

Ultra-dense network (UDN) is a promising technology to further evolve wireless networks and meet the diverse performance requirements of 5G networks. With abundant access points, each with communication, computation and storage resources, UDN brings unprecedented benefits, including significant improvement in network spectral efficiency and energy efficiency, greatly reduced latency to enable intelligent mobile applications, and the capability of providing massive access for Internet of Things (IoT) devices. However, such great promises come with formidable research challenges. To design and operate such complex networks with various types of resources, efficient and innovative methodologies will be needed. This motivates the recent introduction of highly structured and generalizable models for network optimization. This tutorial shall present recent advances in structured sparse and generalized low-rank techniques for optimizing UDNs, with a comprehensive coverage including modeling, algorithm design, and theoretical analysis. Through motivating applications (e.g., mobile edge caching and wireless distributed learning), the powerfulness of this set of tools will be demonstrated, and their abilities in solving key design problems in UDNs will be highlighted. A special attention is paid on algorithmic approaches to deal with nonconvex objective functions and constraints, as well as computational scalability.

The tutorial is organized as follows (Intended length of the tutorial: half-day):


2).Sparse Optimization for UDNs

3).Low-Rank Optimization for UDNs


Biography of the instructor(s):

Jun Zhang (S’06-M’10-SM’15) received the B.Eng. degree in Electronic Engineering from the University of Science and Technology of China in 2004, the M.Phil. degree in Information Engineering from the Chinese University of Hong Kong in 2006, and the Ph.D. degree in Electrical and Computer Engineering from the University of Texas at Austin in 2009. He is currently a Research Assistant Professor in the Department of Electronic and Computer Engineering at the Hong Kong University of Science and Technology (HKUST). His research interests include dense wireless cooperative networks, mobile edge computing, cloud computing, and big data analytics systems.

Dr. Zhang co-authored the book Fundamentals of LTE (Prentice-Hall, 2010). He is a co-recipient of the 2016 Marconi Prize Paper Award in Wireless Communications, the 2014 Best Paper Award for the EURASIP Journal on Advances in Signal Processing, an IEEE GLOBECOM Best Paper Award in 2017, an IEEE ICC Best Paper Award in 2016, and an IEEE PIMRC Best Paper Award in 2014. One paper he co-authored received the 2016 Young Author Best Paper Award of the IEEE Signal Processing Society. He also received the 2016 IEEE ComSoc Asia-Pacific Best Young Researcher Award. He is an Editor of IEEE Transactions on Wireless Communications, and was a guest editor of the special section on “Mobile Edge Computing for Wireless Networks” in IEEE Access. He frequently serves on the technical program committees of major IEEE conferences in wireless communications, such as ICC, Globecom, WCNC, VTC, etc., and served as a MAC track co-chair for IEEE WCNC 2011.

Yuanming Shi (S’13-M’15) received the B.S. degree in electronic engineering from Tsinghua University, in 2011. He received the Ph.D. degree in electronic and computer engineering from The Hong Kong University of Science and Technology (HKUST), in 2015. Since September 2015, he has been with the School of Information Science and Technology in ShanghaiTech University, as a tenure-track Assistant Professor. He visited University of California, Berkeley, from October 2016 to February 2017. Dr. Shi is a recipient of the 2016 IEEE Marconi Prize Paper Award in Wireless Communications, and the 2016 Young Author Best Paper Award by the IEEE Signal Processing Society. His research interests include machine learning, mathematical optimization, high-dimensional statistics, dense wireless networks, big data analysis, and Internet-of-Things (IoT).


Tutorial Title:

Orbital Angular Momentum for Wireless Communications: New Orthogonal Dimension for Radio Access (pdf)


Dr. Wenchi Cheng
State Key Laboratory of Integrated Services Networks,
Department of Telecommunications Engineering,
Xidian University

It is now very difficult to use the traditional plane-electromagnetic (PE) wave based wireless communications to satisfy the ever-lasting capacity demand growing. Fortunately, the electromagnetic (EM) wave possesses not only linear momentum, but also angular momentum, which includes the orbital angular momentum (OAM). The orbital angular momentum (OAM), which is a kind of wave front with helical phase and has not been well studied yet, is another important property of EM wave. The OAM-based vortex wave has different topological charges, which are independent and orthogonal to each other, bridging a new way to significantly increase the capacity of wireless communications. This proposal will be discussing the fundamental theory of using orbital angular momentum (OAM) for wireless communications. This proposal would start with the background introduction on what is OAM based wireless communication and how OAM is important in current and future wireless communications. Then, the fundamental theory of OAM will be elaborated on in details, including OAM versus MIMO, OAM signal generation/reception, and OAM beam converging. Moreover, we would also like to share our latest research progress regarding how to apply OAM into wireless communications, including mode modulations, OAM mode convergence, mode hopping, OAM based MIMO, orthogonal mode division multiplexing, concentric UCAs based low-order OAM transmission, degree of freedom in mode domain as well as orthogonally of OAM mode. Finally, the applications of OAM based wireless communication are also discussed.

The tutorial is organized as follows (Intended length of the tutorial: half-day):

1). Background of OAM

  • What is OAM based wireless communication: back ground and motivation
  • Mode domain versus frequency/time domain

2). Fundamental Theory of Using OAM for Wireless Communications

  • High Spectrum efficiency radio vortex wireless communication: multiple-mode OAM signal generation/adaptation/reception;
  • Long distance radio vortex wireless communication : OAM beam converging;
  • Mobility issues regarding radio vortex wireless communication
  • OAM versus MIMO: degree of freedom, orthogonally, and capacity;
  • Anti-Jamming: Mode hopping;
  • Orthogonal mode division multiplexing;
  • Concentric UCAs based low-order OAM.

3).Application of Using OAM for Wireless Communications

  • Mode-division-multiple-access based MAC protocol for radio-vortex wireless networks
  • OAM for ultra-dense networks;

Biography of the instructor(s):

Wenchi Cheng (M’14) received B.S. degree and Ph.D. degree in Telecommunication Engineering from Xidian University, China, in 2008 and 2014, respectively, where he is an Associate Professor. He joined Department of Telecommunication Engineering, Xidian University, in 2013, as an Assistant Professor. He worked as a visiting scholar at Networking and Information Systems Laboratory, Department of Electrical and Computer Engineering, Texas A&M University, College Station, Texas, USA, from 2010 to 2011. His current research interests include 5G/B5G wireless networks and orbital-angular-momentum based wireless communications. He has published more than 60 journal and conference papers in IEEE Journal on Selected Areas in Communications, IEEE Magazines, IEEE Transactions, IEEE INFOCOM, GLOBECOM, and ICC, etc. He received the Young Elite Scientist Award of CAST, the Best Dissertation (Rank 1) of China Institute of Communications, the Best Paper Nomination for IEEE GLOBECOM 2014, and the Outstanding Contribution Award for Xidian University. He has served or serving as the Associate Editor for IEEE Access, Mobile Information Systems, IEEE ICC 2019 Publicity Chair, IEEE ICCC 2017 IoT workshop co-chair, TPC member for IEEE INFOCOM, GLOBECOM, and ICC.