W7: Workshop on Integrated Sensing and Communication towards 6G

Workshop Organizer: Weijie Yuan, Southern University of Science and Technology, China
Workshop Organizer: Yuanhao Cui, Beijing University of Posts and Telecommunications, China
Workshop Organizer: Qixun Zhang, Beijing University of Posts and Telecommunications, China
Workshop Organizer: Qing Wang, Tianjin University, China

Abstract:  As the standardization of 5G has gradually been solidified, researchers have speculated what 6G will be. A common theme in many perspectives is that 6G RAN should serve as an edge infrastructure to provide site-specified services for surrounding users, rather than communication-only functionality. Jointly suggested by recent advances in signal processing and communication technologies, radio sensing functionality can be integrated into 6G RAN in an efficient manner. Therefore, the future cellular network could image and measure the surrounding environment to enable advanced location-aware services, ranging from the physical layer (e.g. fast and training-free beam management) to application layers (e.g. spatial computing/city-wide weather monitoring, mmWave-specified). This emerging avenue of research is typically referred to as Integrated Sensing and Communication (ISAC).

In essence, ISAC can acquire two main advantages over dedicated sensing and communication functionalities: 1) Integration gain to efficiently utilize congested resources, and even more interestingly, 2) Coordination gain to balance multi-functional performance or/and perform mutual assistance. That is, via the shared use of sensing, communication resources, ISAC can be realized through a synergistic design to pursue the integration gain, e.g., cohabitation strategies with interference management. Moreover, it can also be implemented from a co-design perspective, wherein the communications and sensing functionalities are simultaneously performed to optimize the performance to acquire the coordination gain. Benefiting from these two advantages, applications of ISAC have been extended to numerous emerging areas, including vehicular networks, environmental monitoring, Internet of Things, as well as in-door services such as human activity and gesture recognition.  

Despite having drawn huge attention from both academia and industry, many open problems are still to be investigated. This workshop is organized by the recently established IEEE ComSoc Integrated Sensing and Communication Emerging Technology Initiative (ISAC-ETI) and aims at bringing together researchers from academia and industry to identify and discuss the major technical challenges, recent breakthroughs, and novel applications related to ISAC.

Steering Committee:
Zhiyong Feng, Beijing University of Posts and Telecommunications, China
Tony Xiao Han (ISAC-ETI Industry Chair), Huawei Technologies, China
Derrick Wing Kwan Ng, University of New South Wales, Australia

Invited Talk: Fan Liu (ISAC-ETI Academic Chair), Southern University of Science and Technology

 

Weijie Yuan Bio: Weijie Yuan received the Ph.D. degree from the Beijing Institute of Technology, China, and the Ph.D. degree from the University of Technology Sydney, Australia, in 2019. He is currently an Assistant Professor with the Department of Electrical and Electronic Engineering, the Southern University of Science and Technology. Prior to that, he was a Research Associate with the School of Electrical Engineering and Telecommunications, University of New South Wales, Sydney, Australia. He has served as a Research Assistant with the University of Sydney, a Visiting Associate Fellow with the University of Wollongong, and a Visiting Fellow with the University of Southampton, from 2017 to 2019. In 2016, he was a Visiting Ph.D. Student with the Institute of Telecommunications, Vienna University of Technology, Austria. He serves as the Co-Chair of the IEEE/CIC ICCC Workshop on on orthogonal time frequency space (OTFS) , the TPC Co-Chair of the IEEE ICC 2021 Workshop on OTFS and the Co-organizer for SPAWC 2021 Special session on integrated sensing and communication (ISAC). His research interest includes statistical signal processing on graphical models and intelligent transportation systems. He is a Founding Member of the IEEE WTC Special Interest Group (SIG) on ISAC. His research interests include ISAC, vehicular communications, and OTFS.

Yuanhao Cui Bio: Yuanhao Cui received the B.Eng. (Hons.) from Henan University, and Ph.D. degree from Beijing University of Posts and Telecommunications. From 2016 to 2018, he has visited Aalto University in Finland. From 2019, he is the CTO and co-founder of Huawenmingde Inc, and Baichen Inc, focusing on the implementation and commercial usage of joint radar and communication systems, where he has been invested more than $3 million dollars. He is the co-chair of IWCMC 2021 workshop, WCNC 2021 workshop on ISAC, and has regularly served as a reviewer for various IEEE Transactions and Journals, as well as a TPC member for flagship IEEE conferences. He is now a consultant for Alibaba DAMO Academy on wireless communications, the chair-assistant of Science Communication Standing Committee of China Computer Federation (CCF). His research interests include precoding and protocol designs in ISAC, information theory, and stochastic signal processing.

Qixun Zhang Bio: Qixun Zhang received the B.S. and Ph.D. degrees from the Beijing University of Posts and Telecommunications (BUPT), Beijing, China, in 2006 and 2011, respectively. He is currently a Professor with the School of Information and Communication Engineering, BUPT, as well as in the Key Laboratory of Universal Wireless Communications, Ministry of Education, Beijing, China. From March to June 2016, he was a Visiting Scholar with the University of Maryland, College Park, MD, USA. From 2018 to 2019, he was a Visiting Scholar with the Electrical and Computer Engineering Department, University of Houston, Houston, TX, USA. His research interests include wireless resource allocation and management, cognitive radio, heterogeneous networks convergence, game theory, mmWave communication and networking, sensing and communication integrated system for autonomous driving vehicles and unmanned aerial vehicles. He is active in the ITU-R WP5A/5C/5D, IEEE 1900, CCSA, and IMT-2020(5G) standards.

Qing Wang Bio: Qing Wang received the B.Eng., M.Eng., and Ph.D. degrees in electronic engineering from Tianjin University, Tianjin, China, in 2004, 2007, and 2010, respectively. Since 2010, she has been with the School of Electronical and Information Engineering, Tianjin University, where she is currently an Associate Professor. From 2007 to 2009, she was a visiting student with the School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore. From 2018 to 2019, she was a Visiting Scholar with Columbia University, New York, NY, USA. Her current research interests include wireless communication, passive radar, and intelligent signal processing.

Workshop Program

Part 1 – Opening / Welcome

Part 2 – Technical Paper – Design of NOMA Sparse Signature Matrix for 6G Integrating Sensing and Communications Networks

Part 3 – Technical Paper – Embedding the Radio Imaging in 5G Networks:Signal Processing and an Airport Use Case

Part 4 – Technical Paper – Exploitation Analysis of Byzantine attack for Cooperative Spectrum Sensing

Part 5 – Technical Paper – Joint Neighbor Discovery and Positioning for Unmanned Aerial Vehicle Networks

Part 6 – Technical Paper – Joint Radar and Communication based Blind Signal Separation using a New Non-Linear Function for Fast-ICA

Part 7 – Technical Paper – Millimeter Wave Integrated Sensing and Communication with Hybrid Architecture in Vehicle to Vehicle Network

Part 8 – Technical Paper – Particle Filter based Predictive Beamforming for Integrated Vehicle Sensing and Communication

Part 9 – Technical Paper – Symbiotic Sensing and Communications Towards 6G: Vision, Applications, and Technology Trends

Part 10 – Technical Paper – UAV Aided Integrated Sensing and Communications

Part 11 – Technical Paper – Waveform-Defined Privacy: A Signal Solution to Protect Wireless Sensing

Part 12 – Technical Paper – WirelessID: Device-Free Human Identification Using Gesture Signatures in CSI

Part 13 – Closing Remarks