Integrated Sensing and Communications for 6G Networks
A Distinguished Lecture on ISAC
Abstract:
Integrated sensing and communications (ISAC) has emerged as one of the key usage scenarios for 6G networks. This talk discusses the recent advancements in ISAC technology, with particular emphasis on three key aspects including fundamental performance tradeoffs, large-scale network cooperation, and sensing-assisted communications. The discussion begins with an analysis of the fundamental limits in the Cramér-Rao bound (CRB) versus rate tradeoff for ISAC systems employing multiple antennas, along with practical approaches for waveform and beamforming design. Subsequently, we present collaborative networking solutions involving both base stations and intelligent reflecting surfaces (IRS) to facilitate ISAC implementation across large networks. Additionally, we introduce innovative sensing-assisted channel estimation and prediction techniques that combine model-based and data-driven approaches. Finally, we discuss promising research directions to motivate future work.
Date and Time
Location
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- Date: 20 Jun 2025
- Time: 06:30 AM UTC to 08:00 AM UTC
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- City University of Hong Kong
- Kowloon
- Hong Kong, Hong Kong
- Hong Kong
- Building: Yeung Kin Man Academic Building
- Room Number: YEUNG-P4701
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- Co-sponsored by Department of Electrical Engineering, City University of Hong Kong
Speakers
XU Jie of The Chinese University of Hong Kong, Shenzhen
Integrated Sensing and Communications for 6G Networks
Integrated sensing and communications (ISAC) has emerged as one of the key usage scenarios for 6G networks. This talk discusses the recent advancements in ISAC technology, with particular emphasis on three key aspects including fundamental performance tradeoffs, large-scale network cooperation, and sensing-assisted communications. The discussion begins with an analysis of the fundamental limits in the Cramér-Rao bound (CRB) versus rate tradeoff for ISAC systems employing multiple antennas, along with practical approaches for waveform and beamforming design. Subsequently, we present collaborative networking solutions involving both base stations and intelligent reflecting surfaces (IRS) to facilitate ISAC implementation across large networks. Additionally, we introduce innovative sensing-assisted channel estimation and prediction techniques that combine model-based and data-driven approaches. Finally, we discuss promising research directions to motivate future work.
Biography:
Jie Xu is an Associate Professor with the School of Science and Engineering and Shenzhen Future Network of Intelligence Institute (FNii-Shenzhen), The Chinese University of Hong Kong, Shenzhen. His research interests include wireless communications, wireless information and power transfer, UAV communications, edge computing and intelligence, and integrated sensing and communication (ISAC). He was a recipient of the 2017 IEEE Signal Processing Society Young Author Best Paper Award, the 2019 IEEE Communications Society Asia-Pacific Outstanding Young Researcher Award, and the 2019 Wireless Communications Technical Committee Outstanding Young Researcher Award. He is the Chair of the IEEE Wireless Communications Technical Committee (WTC) and the Vice Co-chair of the IEEE Emerging Technology Initiative (ETI) on ISAC. He serves as an Associate Editor-in-Chief of IEEE Transactions on Mobile Computing, an Editor of IEEE Transactions on Wireless Communications and IEEE Transactions on Communications, and a Guest Editor of IEEE Wireless Communications and IEEE Journal on Selected Areas in Communications. He is an IEEE Fellow and an IEEE Communications Society Distinguished Lecturer.
Email:
Address:Room 304, Chengdao Bldg., 2001 Longxiang Blvg., , Longgang District, , Shenzhen, , China, 518172