Sensing-Assisted Accurate and Fast Beam Management for Cellular-Connected mmWave UAV Network  

作　　者：Cui Yanpeng Zhang Qixun Feng Zhiyong Qin Wen Zhou Ying Wei Zhiqing Zhang Ping 

机构地区：[1]School of Information and Communication Engineering,Beijing University of Posts and Telecommunications,Beijing 100876,China [2]School of Computer Science,Northwestern Polytechnical University,Xi’an 710072,China

出　　处：《China Communications》2024年第6期271-289,共19页中国通信（英文版）

基　　金：supported by the Major Research Projects of the National Natural Science Foundation of China(92267202);the National Key Research and Development Project(2020YFA0711303);the BUPT Excellent Ph.D.Students Foundation(CX2022208).

摘　　要：Beam management,including initial access(IA)and beam tracking,is essential to the millimeter-wave Unmanned Aerial Vehicle(UAV)network.However,the conventional communicationonly and feedback-based schemes suffer a high delay and low accuracy of beam alignment,since they only enable the receiver to passively“hear”the information of the transmitter from the radio domain.This paper presents a novel sensing-assisted beam management approach,the first solution that fully utilizes the information from the visual domain to improve communication performance.We employ both integrated sensing and communication and computer vision techniques and design an extended Kalman filtering method for beam tracking and prediction.Besides,we also propose a novel dual identity association solution to distinguish multiple UAVs in dynamic environments.Real-world experiments and numerical results show that the proposed solution outperforms the conventional methods in IA delay,association accuracy,tracking error,and communication performance.

关 键 词：beam management integrated sensing and communication UAV communication 

分 类 号：TN928[电子电信—通信与信息系统] V279[电子电信—信息与通信工程]