IEEE/CIC International Conference on Communications in China
28–30 July 2021 // Xiamen, China




Theme of IEEE/CIC ICCC 2021: Communication Technology-Powered Digital Economy

The 10th IEEE/CIC International Conference on Communications in China (ICCC2021) will be held in Xiamen, China, 28-30 July, 2021. This conference will feature world-class plenary speakers, major technical symposia, industry and academic panels, workshops, tutorials and invited tracks. The technical program chairs invite the submission of original papers to following symposia for presentation and publication in the conference proceedings and IEEE Xplore. Best paper awards will be selected from accepted papers. Both the symposia and workshop papers will be published in IEEEXplore and indexed by Engineering Villiage (EI).


Below are the Keynote Speakers confirmed for the IEEE/CIC ICCC 2021 conference:

Ping Zhang

Academician of Chinese Academy of Engineering, IEEE Fellow, Beijing University of Posts and Telecommunications, China

Biography: Ping Zhang, academician of Chinese Academy of Engineering, Ph.D. supervisor. He is a Professor of School of Information and Communication Engineering at Beijing University of Posts and Telecommunications, the director of State Key Laboratory of Networking and Switching Technology. He is one of the most well-known key contributors to the development of China-pioneered mobile communication technologies, which have been widely adopted on a global scale. He served as a member of the 1st session of Advisory Committee on International Corporation of National Natural Science Foundation of China (NSFC); a member of the 3rd, 5th and 6th session of Advisory Committee of Information Science Department of NSFC; a member of Expert Panel on Networking and Communication Subject (863 program) of Ministry of Science and Technology; a member of Expert Panel on “Next Generation Broadband Wireless Mobile Communication Networks” (National Science and Technology Major Project of the Ministry of Science and Technology of China) and the Academic Leader of Innovative Research Group of NSFC. He is a member of IMT-2020 (5G) Experts Panel, a member of Experts Panel for China’s 6G development, chief editor of China Universities of Posts and Telecommunications and chief editor of Journal of Communications, IEEE Fellow.

Professor Zhang has received many awards and honors for his pioneering contributions in the development of mobile communication systems, including the Grand Prize for the National Science and Technology Progress Award, Second Prize for National Technology Invention Award (three times), Second Prize for the National Science and Technology Progress Award (two times). He won the National Medal for Innovation approved by the state. He was awarded the Guanghua Engineering Science and Technology Prize, and the Ho Leung Ho Lee Prize for Science and Technology Progress. He is the lead scientist of the Innovative Research Groups funded by NSFC.

Title: Towards Intelligent and Efficient Mobile Communication Systems: A New Paradigm of Semantic Communications

Abstract:  We are at the dawn of a new era, in which the next generation wireless and mobile communication will reshape the world through intelligent interactions between virtual world and physical worlds. The bridging of these two worlds will be faced with new challenge Ubiquitous-X, which features the emergence of ubiquitous consciousness, along with the existing ubiquitous communication, ubiquitous computation, and ubiquitous control. Under this perspective, this seems to be the right time to step back and rethink the evolving paradigms of communication systems. The advances in modern mathematics and artificial intelligence enable the rapid development of semantic communications, which promotes the paradigm shift from a stacking mode of technologies with limited application scenarios, to an intelligent, efficient and intention-aware mode. Shannon Information Theory laid the foundation for modern digital communications, and hence, in this keynote presentation, we will start by giving a brief overview of Shannon syntactic information entropy, along with its benefits and limitations. Second, based on nature of information, we will probe into the measurement of semantic information and its significance on the processing of semantic information, and we will update the attendees on a new semantic measurement framework, i.e., Semantic base (Seb). Third, we will contribute some original thoughts on semantic communication network architecture. Furthermore, this presentation will point out some potential application scenarios and open challenges based on the development trend of future mobile communication system.


Khaled. B. Letaief

Member of US National Academy of Engineering and IEEE Fellow
New Bright Professor of Engineering,
The Hong Kong University of Science and Technology

Biography:  Dr. Khaled. B. Letaief is the New Bright Professor of Engineering at the Hong Kong University of Science and Technology. He is an internationally recognized leader in wireless communications and networks with research interest in artificial intelligence, big data analytics systems, mobile cloud and edge computing, tactile Internet, 5G systems and beyond.  In these areas, he has over 630 papers with over 38,350 citations and an h-index of 87 along with 15 patents, including 11 US inventions. He is a Member of the United States National Academy of Engineering, Fellow of IEEE, Fellow of Hong Kong Institution of Engineers, and Member of the Hong Kong Academy of Engineering Sciences. He is also recognized by Thomson Reuters as an ISI Highly Cited Researcher and was listed among the 2020 top 30 of AI 2000 Internet of Things Most Influential Scholars. Dr. Letaief is the recipient of many distinguished awards and honors including the 2019 Distinguished Research Excellence Award by HKUST School of Engineering; 2019 IEEE Communications Society and Information Theory Society Joint Paper Award; 2018 IEEE Signal Processing Society Young Author Best Paper Award; 2017 IEEE Cognitive Networks Technical Committee Publication Award; 2016 IEEE Signal Processing Society Young Author Best Paper Award; 2016 IEEE Marconi Prize Paper Award in Wireless Communications; 2011 IEEE Wireless Communications Technical Committee Recognition Award; 2011 IEEE Communications Society Harold Sobol Award; 2010 Purdue University Outstanding Electrical and Computer Engineer Award; 2009 IEEE Marconi Prize Award in Wireless Communications; 2007 IEEE Communications Society Joseph LoCicero Publications Exemplary Award; and over 16 IEEE Best Paper Awards. He is the founding Editor-in-Chief of the prestigious IEEE Transactions on Wireless Communications. He also served as President of the IEEE Communications Society (2018-19).

Title: Towards Integrated Intelligence for a Connected World

Abstract: The continuous extraordinary growth of wireless communications coupled with many emerging data-intensive applications such as the Internet of Everything, Tactile Internet, connected autonomous systems, brain-computer interfaces, high-fidelity mobile hologram and digital replicas, haptics, etc. cannot be supported by the 5th generation (5G) networks which are currently being deployed, and will require the launch by 2030 of an advanced new generation, 6G, with revolutionary technological advances. Unlike previous generations, 6G will be transformative and will revolutionize the evolution of wireless from “connected things” to “connected intelligence” where AI-empowered wireless networks will enable interconnections between humans, things, and intelligence within a deeply intertwined and hyper-connected cyber-physical world.

The focus of this presentation is to describe the need of intelligent wireless communications for 6G.  Of particular interest will be the introduction of new research problems of task-oriented communications for mobile intelligence, which would require an integrated design of communication strategies and machine learning models.  We shall also introduce the design of scalable and trustworthy edge AI systems, as well as, demonstrate novel wireless communication techniques for communication-efficient edge AI systems, including federated learning, and intelligent resource allocation optimization methods for future wireless communications systems.


Sumei Sun

Institute for Infocomm Research (I2R), Agency for Science, Technology, and Research (A*STAR), Singapore

Biography:  Sumei Sun is Head of the Communications and Networks Dept at the Institute for Infocomm Research (I2R), Agency for Science, Technology, and Research (A*STAR), Singapore. She is also holding a joint appointment with the Singapore Institute of Technology, and an adjunct appointment with the National University of Singapore, both as a full professor. Her current research interests are in next-generation wireless communications, industrial internet of things, and integrated secure sensing-communications-computing design. She is a Fellow of the IEEE, Editor-in-Chief of IEEE Open Journal of Vehicular Technology, member of the IEEE Transactions on Wireless Communications Steering Committee, and a Distinguished Speaker of the IEEE Vehicular Technology Society 2018-2021. She’s also Director of IEEE Communications Society Asia Pacific Board, Chapter Coordinator of Asia Pacific Region in the IEEE Vehicular Technologies Society, and a member at large with the IEEE Communications Society.

Title:  From 5G to 6G: Driving applications and enabling technologies

Abstract: The fifth generation (5G) network, promising to provide enhanced mobile broadband (eMBB), mission-critical internet of things (IoT), and massive IoT, aims to be the digital transformation enabler in all industry sectors. While 5G is being deployed, it is timely and important to look at the unaddressed gaps from 5G, and start developing 6G technologies to bridge the gaps.

In this talk, we will start with a brief review on the 5G vision. We then look at the some of the unaddressed gaps from 5G, and discuss the driving needs for 6G technologies. As examples, we will discuss the need for massive ultra-reliability low-latency communications (M-URLLC), intelligent and integrated aggregation of licensed and unlicensed spectrums, joint sensing and communication (JSAC), and software-defined artificial intelligence-supported re-configurability in system, network, and radio environment. Some early results will also be shared.


Halim Yanikomeroglu

Carleton University, Ottawa, Canada

Biography:  Dr. Halim Yanikomeroglu is a Professor in the Department of Systems and Computer Engineering at Carleton University, Ottawa, Canada. His primary research domain is wireless communications and networks. His research group has made substantial contributions to 4G and 5G wireless technologies. During 2012-2016, he led one of the largest academic-industrial collaborative research programs on pre-standards 5G wireless. In Summer 2019, he started a new large-scale project on the 6G non-terrestrial networks. His extensive collaboration with industry resulted in 37 granted patents. He has formally supervised or hosted at Carleton a total of 135 postgraduate researchers in all levels (PhD & MASc students, PDFs, and professors). He has coauthored IEEE papers with faculty members in 80+ universities in 25 countries and industry researchers in 10 countries. He is a Fellow of IEEE, EIC (Engineering Institute of Canada), and CAE (Canadian Academy of Engineering), and a Distinguished Speaker for both IEEE Communications Society and IEEE Vehicular Technology Society. He is currently serving as the Chair of the IEEE WCNC (Wireless Communications and Networking Conference) Steering Committee. He was the Technical Program Chair/Co-Chair of WCNC 2004 (Atlanta), WCNC 2008 (Las Vegas), and WCNC 2014 (Istanbul). He was the General Chair of IEEE VTC 2010-Fall (Ottawa) and VTC 2017-Fall (Toronto). He also served as the Chair of the IEEE’s Technical Committee on Personal Communications. Dr. Yanikomeroglu received several awards for his research, teaching, and service, including the IEEE Communications Society Wireless Communications Technical Committee Recognition Award in 2018 and IEEE Vehicular Technology Society Stuart Meyer Memorial Award in 2020.

Title: Non-Terrestrial Networks: Key Enabler for the Smart Societies of the Future

Abstract: There have been rapid and exciting developments in recent years in satellite networks, in particular, in LEO mega-constellations such as SpaceX’s Starlink. Although less visible, exciting developments have also been taking place in a certain type of aerial networks known as the high-altitude platform station (HAPS) systems, such as the formation of HAPS Alliance which brings together the connectivity and aerospace industries. It is worth noting that the satellite and aerial networks discussions have been occurring almost exclusively in the context of remote and rural connectivity. A major barrier in this context is the rather questionable business case; there is limited revenue in rural and remote regions. In this talk, a novel vision will be presented for an integrated terrestrial-HAPS-LEO network architecture for communications, computing, caching, sensing, surveillance, navigation, and positioning, for the smart societies of 2030s and beyond in dense urban settings.


Ying-Chang Liang

University of Electronic Science and Technology of China, China

Biography:  Ying-Chang Liang is currently a Professor with the University of Electronic Science and Technology of China, China, where he leads the Center for Intelligent Networking and Communications (CINC). His research interests include wireless networking and communications, cognitive radio, symbiotic networks, dynamic spectrum access, the Internet-of-Things, artificial intelligence, and machine learning techniques. He is the Editor-in-Chief of the IEEE Transactions on Cognitive Communications and Networking.  Dr. Liang has been recognized by Clarivate Analytics as a Highly Cited Researcher since 2014. He received the Prestigious Engineering Achievement Award from The Institution of Engineers, Singapore, in 2007, the Outstanding Contribution Appreciation Award from the IEEE Standards Association, in 2011, and the Recognition Award from the IEEE Communications Society Technical Committee on Cognitive Networks, in 2018. He is the recipient of numerous paper awards, including the IEEE Jack Neubauer Memorial Award, in 2014, and the IEEE Communications Society APB Outstanding Paper Award, in 2012. He is a Fellow of IEEE, and a foreign member of Academia Europaea.

Title:  Symbiotic Radio: Cognitive Backscattering Communications for Future Wireless Networks

Abstract: The heterogeneous wireless services and exponentially growing traffic call for novel spectrum- and energy efficient wireless communication technologies. In this talk, a new technique, called symbiotic radio (SR), is introduced to exploit the benefits and address the drawbacks of cognitive radio (CR) and ambient backscattering communications (AmBC), leading to mutualism spectrum sharing and highly reliable backscattering communications. We provide a systematic view for SR which integrates passive radios with active communications, and address three fundamental tasks in SR: (1) enhancing the backscattering link via active load; (2) achieving highly reliable communications through joint decoding; and (3) capturing desired RF signals using reconfigurable intelligent surfaces. Finally, we will address the applications of SR in low-power IoT communications in 6G and beyond.


Shuguang Cui

Chinese University of Hong Kong (Shenzhen), China

Biography: Shuguang Cui received his Ph.D in Electrical Engineering from Stanford University, California, USA, in 2005. Afterwards, he has been working as assistant, associate, full, Chair Professors in Electrical and Computer Engineering at the Univ. of Arizona, Texas A&M University, and UC Davis, respectively. He is currently the Distinguished Presidential Chair Professor and Executive Dean, the School of Science and Engineering at the Chinese University of Hong Kong (Shenzhen), and the Executive Vice Director of Shenzhen Research Institute of Big Data. His current research interests focus on data driven large-scale system control and resource management, large data set analysis, IoT system design, energy harvesting based communication system design, and cognitive network optimization. He was selected as the Thomson Reuters Highly Cited Researcher and listed in the Worlds’ Most Influential Scientific Minds by ScienceWatch in 2014. He was the recipient of the IEEE Signal Processing Society 2012 Best Paper Award. He has served as the general co-chair and TPC co-chairs for many IEEE conferences. He has also been serving as the area editor for IEEE Signal Processing Magazine, and associate editors for IEEE Transactions on Big Data, IEEE Transactions on Signal Processing, IEEE JSAC Series on Green Communications and Networking, and IEEE Transactions on Wireless Communications. He has been the elected member for IEEE Signal Processing Society SPCOM Technical Committee (2009~2014) and the elected Chair for IEEE ComSoc Wireless Technical Committee (2017~2018). He is a member of the Steering Committee for both IEEE Transactions on Big Data and IEEE Transactions on Cognitive Communications and Networking. He was also a member of the IEEE ComSoc Emerging Technology Committee. He was elected as an IEEE Fellow in 2013 and an IEEE ComSoc Distinguished Lecturer in 2014. His recent work got honors of IEEE ICC’2020 best paper award, the IEEE Globecom’2020 best paper award, and the IEEE ICIP’2020 best paper finalist.

Title: The Merging between Federated Learning and Communication Network Optimization

Abstract: AI and communication network happily meet in this era. On one hand, AI could enable various new network optimization and control features, which were not feasible with traditional network control approaches. Many people believe AI will be the core or brain of next generation networks. On the other hand, the future AI systems will become more complex, and inevitably distributed. To boost the performance of such distributed AI systems, the network connection among the scattered intelligent elements must be optimized. Understanding such two-way dynamics between AI and networks will be a key step towards future information systems. In this talk, we will take federating learning and wireless network as an example, to start the journey of uncovering the principles regulating the synergy between AI and network optimization.


Wei Zhang

The University of New South Wales, Australia

Biography:  Wei Zhang (F’15) is a Professor at University of New South Wales, Sydney, Australia. His current research interests include cybertwin networks and 6G communications. He was the Editor-in-Chief of IEEE Wireless Communications Letters for 2016-2019. Currently, he is Area Editor of IEEE Transactions on Wireless Communications and Editor-in-Chief of Journal of Communications and Information Networks (JCIN). He served as Chair for IEEE Wireless Communications Technical Committee in 2019-2020 and Board of Governors of IEEE Communications Society in 2018-2020.  Now he is Vice Director of IEEE Communications Society Asia Pacific Board. He is an IEEE Fellow.

Title:  Cybertwin – A Pathway to Cloud Native Network

Abstract: With the fast development of Internet-of-Everything and its applications, the ever increasing mobile Internet traffic and services bring unprecedented challenges, including scalability, mobility, availability, and security. In this talk, a cybertwin based next generation network architecture is proposed to accommodate the evolution from end-to-end connection to cloud-to-end connection in the future network. As a digital representation of humans or things in the cyberspace, cybertwin serves in multiple capacities, such as communications assistant, network behaviour logger, and digital asset owner. We advocate a new cloud network operating system which can work in a distributed way through a real-time multi-agent trading platform to allocate 3C (computing, caching, communication) resources. Finally, 6G use cases and future research topics of cybertwin based cloud native network are discussed.


Below are the Invited Paper Authors confirmed for the IEEE/CIC ICCC 2021 conference:

Zhisheng Niu, Tsinghua University, China

Pingzhi Fan, Southwest Jiaotong University, China

Zhiyong Feng, Beijing University of Posts and Telecommunications, China

Shi Jin, Southeast University, China

Mugen Peng, Beijing University of Posts and Telecommunications, China

Yi Gong, Southern University of Science and Technology, China

Jun Wu, Fudan University, China

Yongming Huang, Southeast University, China

Junhui Zhao, East China Jiaotong University, China

Kai Niu, Beijing University of Posts and Telecommunications, China

Xiang Cheng, Peking University, China

Gang Wu, University of Electronic Science and Technology of China, China

Wenchi Cheng, Xidian University, China

Yue Gao, University of Surrey, UK

Feifei Gao, Tsinghua University, China

Wenyi Zhang, University of Science and Technology of China, China

2021 Patrons

  • IEEE