通信学报2024，Vol.45Issue(5)：29-43,15.DOI:10.11959/j.issn.1000-436x.2024095
基于列车先验信息的RIS-MIMO系统鲁棒波束成形算法
Robust beamforming algorithm for RIS-MIMO system based on train prior information
摘要
Abstract
In response to the difficulty in obtaining perfect channel state information(CSI)in high mobility scenarios leaded to the deterioration of the performance of reconfigurable intelligent surface multiple-input multiple-output(RIS-MIMO)system's active and passive beamforming algorithms issue,a communication model for millimeter-wave MIMO relay in high-speed railways assisted by RIS was constructed.Firstly,with incomplete train position information,the sta-tistical characteristics of the line of sight(LOS)angle estimation error between RIS and mobile relay node(MRN)were estimated and derived.Secondly,the outage performance of the millimeter-wave MIMO system was studied,and an ex-pression of outage probability based on channel capacity was given.Finally,the optimization problem was modelled as a minimum outage probability problem constrained by base station transmit power.To solve this problem,a complex circle manifold optimization algorithm based on accelerated riemann conjugate gradient was proposed.Simulation results show that the proposed algorithm has faster convergence speed and higher system robustness by comparing it with the existing algorithms and the traditional without RIS system,as well as the high-speed railway(HSR)communication system under RIS random phase adjustment.关键词
高速铁路/智能超表面/毫米波MIMO/鲁棒波束成形/流行优化Key words
high-speed railway/reconfigurable intelligent surface/millimeter wave MIMO/robust beamforming/mani-fold optimization分类
信息技术与安全科学引用本文复制引用
张泽鹏,李翠然,吴昊,谢健骊,许琼..基于列车先验信息的RIS-MIMO系统鲁棒波束成形算法[J].通信学报,2024,45(5):29-43,15.基金项目
国家自然科学基金资助项目(No.62161016) （No.62161016）
北京交通大学北京市高铁宽带移动通信工程技术中心基金资助项目(No.BHRC-2022-1) The National Natural Science Foundation of China(No.62161016),The Beijing Engineering Research Center of High-speed Railway Broadband Mobile Communications,Beijing Jiaotong University(No.BHRC-2022-1) （No.BHRC-2022-1）
