LoS sensing-based superimposed CSI feedback for UAV-assisted mmWave systems

作     者：Chaojin QING Qing YE Wenhui LIU Zilong WANG Jiafan WANG Jinliang CHEN Chaojin QING;Qing YE;Wenhui LIU;Zilong WANG;Jiafan WANG;Jinliang CHEN

作者机构：School of Electrical Engineering and Electronic InformationXihua UniversityChengdu 610039China School of Aeronautics and AstronauticsXihua UniversityChengdu 610039China 

出 版 物：《Chinese Journal of Aeronautics》 (中国航空学报（英文版）)

年 卷 期：2023年第36卷第12期

页      面：349-360页

核心收录：

学科分类：080904[工学-电磁场与微波技术] 0810[工学-信息与通信工程] 0809[工学-电子科学与技术（可授工学、理学学位）] 08[工学] 080402[工学-测试计量技术及仪器] 0804[工学-仪器科学与技术] 081001[工学-通信与信息系统] 0825[工学-航空宇航科学与技术] 

基　　金：the support of the Sichuan Science and Technology Program,China(Nos.2021JDRC0003,2023YFG0316,and 2021YFG0064) the Demonstration Project of Chengdu Major Science and Technology Application,China(No.2020-YF09-00048-SN) the Special Funds of Industry Development of Sichuan Province,China(No.zyf-2018-056) the Industry-University Research Innovation Fund of China University(No.2021ITA10016/cxy0743) 

主　　题：Channel State Information(CSI) Integrated Sensing and Communications(ISAC) Line of Sight(LoS)sensing Superimposed CSI feedback Unmanned Aerial Vehicle(UAV)-assisted millimeter Wave(mmWave)systems 

摘      要：In Unmanned Aerial Vehicle(UAV)-assisted millimeter Wave(mmWave)systems,Channel State Information(CSI)feedback is critical for the selection of modulation schemes,resource management,beamforming,***,traditional CSI feedback methods lead to significant feedback overhead and energy consumption of the UAV transmitter,therefore shortening the system operation *** tackle these issues,inspired by superimposed feedback and Integrated Sensing and Communications(ISAC),a Line of Sight(LoS)sensing-based superimposed CSI feedback scheme is ***,on the UAV transmitter side,the Ground-to-UAV(G2U)CSI is superimposed on the UAV-to-Ground(U2G)data to feed back to the ground Base Station(gBS).At the gBS,the dedicated LoS Sensing Network(LoS-SenNet)is designed to sense the U2G CSI in LoS and NLoS *** the sensed result of LoS-SenNet,the determined G2U CSI from the initial feature extraction will work as the priori information to guide the subsequent ***,for the G2U CSI in NLoS,a CSI Recovery Network(CSI-RecNet)and superimposed interference cancellation are developed to recover the G2U CSI and U2G *** for the LoS scenario,a dedicated LoS Aid Network(LoS-Aid Net)is embedded before the CSI-RecNet and the block of superimposed interference cancellation to highlight the feature of the G2U *** with other methods of superimposed CSI feedback,simulation results demonstrate that the proposed feedback scheme effectively improves the recovery accuracy of the G2U CSI and U2G ***,against parameter variations,the proposed feedback scheme presents its robustness.