Multiple Vandermonde Decomposition Based Channel Estimation for Mm Wave MIMO High-Mobility Communication in 5G and Beyond  

作　　者：Zhao Yi Xiaojun Jing 

机构地区：[1]School of Electronics and Information,Hunan First Normal University,Changsha 410205,China [2]Key Laboratory of Trustworthy Distributed Computing and Service,Ministry of Education,Beijing University of Posts and Telecommunications,Beijing 100876,China [3]School of Information and Communication Engineering,Beijing University of Posts and Telecommunications,Beijing 100876,China

出　　处：《China Communications》2023年第4期12-25,共14页中国通信（英文版）

基　　金：supported by National Natural Science Foundation of China(No.61471066)。

摘　　要：Millimeter wave(mmWave)massive massive multiple input multiple output(MIMO)technique has been regarded as the viable solution for vehicular communications in 5G and beyond.To achieve the substantial increase in date rates,it is important to take an effective channel state information(CSI).However,existing channel estimation strategies are unavailable since the users high-mobility.To solve above issues,in this paper,inspired by a specific antenna structure,we propose a novel approach for fast time-varying channel estimation.Specifically,by considering the vehicle scenario with high-mobility,a corresponding mathematical model is firstly established.Then,based on the special structural of the sparse array,the switch network is used to replace the convention phase shifter of mmWave hybrid system,which can effectively reduce the number of radio-frequency(RF)chains and antennas.Furthermore,by solving the semidefinite programming(SDP)duality problem,the Doppler frequency and path parameters are effectively estimated.Simulation results are shown that the computational complexity and estimation accuracy of the proposed algorithm is superior than that of the traditional schemes.

关 键 词：MIMO mmWave channel estimation HIGH-MOBILITY time-variant 

分 类 号：TN929.5[电子电信—通信与信息系统]