Lecture 1. Fundamental of Channel Knowledge Map (CKM) (Professor Yong Zeng) скачать в хорошем качестве

Lecture 1. Fundamental of Channel Knowledge Map (CKM) (Professor Yong Zeng)

Conventional wireless systems largely operate under an “environment-unaware” paradigm, which fails to exploit the prior knowledge of the local wireless environment. This leads to inefficient environment sensing and channel acquisition, rendering it challenging to meet the ever-increasing demands for future wireless communication, sensing, and localization tasks. Channel Knowledge Map (CKM) emerges as a promising solution: by fusing massive historical data collected from all terminals, CKM learns the intrinsic characteristics of the local propagation environment and establishes foundational knowledge that enables direct retrieval of environmental priors from (virtual) terminal location information.This capability enables a fundamental paradigm shift—from traditional environment-unaware designs toward future environment-aware communication and sensing. The first talk in this series will introduce the core concept of CKM, including its formal definition and key distinctions from conventional channel modeling and radio maps. It will present different types of CKMs, followed by discussions on fundamental challenges in CKM construction and utilization. This talk aims to lay the groundwork for subsequent presentations on AI-driven intelligent construction and application of CKMs for downstream communication and sensing tasks. Bio: Yong Zeng （曾勇）(IEEE Fellow) is a Chief Young Professor with the National Mobile Communications Research Laboratory, Southeast University, China, and also with the Purple Mountain Laboratories, Nanjing, China. He received the Bachelor of Engineering (First-Class Honours) and Ph.D. degrees from Nanyang Technological University, Singapore, and then worked as a Research Fellow, Senior Research Fellow, and Lecturer at the National University of Singapore and the University of Sydney, Australia. Prof. Zeng is listed as Highly Cited Researcher by Clarivate Analytics for six consecutive years (2019-2024). He is the recipient of the Australia Research Council (ARC) Discovery Early Career Researcher Award (DECRA), 2020 & 2024 IEEE Marconi Prize Paper Award in Wireless Communications, 2018 IEEE Communications Society Asia-Pacific Outstanding Young Researcher Award, 2020 & 2017 IEEE Communications Society Heinrich Hertz Prize Paper Award, 2021 IEEE ICC Best Paper Award, and 2021 China Communications Best Paper Award. Prof. Zeng proposed the concept of channel knowledge map (CKM). He has published more than 200 papers, which have been cited by more than 32,000 times. He serves/served as an Editor for IEEE Transactions on Communications, IEEE Transactions on Mobile Computing, IEEE Communications Letters and IEEE Open Journal of Vehicular Technology, Leading Guest Editor for IEEE Wireless Communications on ``Integrating UAVs into 5G and Beyond'' and China Communications on ``Network-Connected UAV Communications''. He is the Symposium Chair for IEEE Globecom 2021 Track on Aerial Communications, the workshop co-chair for ICC 2018-2023 workshop on UAV communications. Prof. Zeng was elevated to IEEE Fellow “for contributions to unmanned aerial vehicle communications and wireless power transfer”.