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Leveraging CKM for Predictive Communication, Channel Estimation, and Network Planning | Jie Xu

Автор: Chaspark

Загружено: 2026-03-11

Просмотров: 27

Описание: Channel Knowledge Map (CKM), as an enabling technology for environment-aware wireless communications in 6G, characterizes the spatial correlations among geographic locations, propagation environments, and channel characteristics. It provides a new paradigm for wireless networks to evolve from passive response to proactive prediction and intelligent planning. This lecture focuses on the utilization of CKM in predictive communications, channel estimation, and network planning. First, the basic concepts and main types of CKM are introduced, together with their fundamental roles in environment-aware communications. Next, the utilization of CKM for predictive communications is discussed, including reducing beam training overhead and enabling efficient channel estimation for large-scale antenna arrays with the assistance of sensing information. Finally, the utilization of CKM in network planning is examined through two representative scenarios: low-altitude network planning and intelligent reflecting surface deployment.
Jie Xu (IEEE Fellow) is an Associate Professor (Tenured) with the School of Science and Engineering, the Shenzhen Future Network of Intelligence Institute (FNii-Shenzhen), and the Guangdong Provincial Key Laboratory of Future Networks of Intelligence, The Chinese University of Hong Kong (Shenzhen). He received the B.E. and Ph.D. degrees from the University of Science and Technology of China. 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 IEEE/CIC ICCC 2019 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 Symposium Co-Chair of the IEEE GLOBECOM 2019 Wireless Communications Symposium and the IEEE ICC 2025 Communication Theory Symposium, the workshop co-chair of several IEEE ICC and GLOBECOM workshops, the Tutorial Co-Chair of the IEEE/CIC ICCC 2019/2022, 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 served or is serving as an Associate Editor-in-Chief of the IEEE Transactions on Mobile Computing, an Editor of the IEEE Transactions on Wireless Communications, IEEE Transactions on Communications, IEEE Wireless Communications Letters, and Journal of Communications and Information Networks, an Associate Editor of IEEE Access, and a Guest Editor of the IEEE Wireless Communications, IEEE Journal on Selected Areas in Communications, IEEE Internet of Things Magazine, Science China Information Sciences, and China Communications. He is a Distinguished Lecturer of IEEE Communications Society.

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Leveraging CKM for Predictive Communication, Channel Estimation, and Network Planning |  Jie Xu

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