基于列车先验信息的RIS-MIMO系统鲁棒波束成形算法OA北大核心CSTPCD
Robust beamforming algorithm for RIS-MIMO system based on train prior information
针对高移动性场景中完美信道状态信息(CSI)难以获取导致的智能超表面多输入多输出(RIS-MIMO)系统主被动波束成形算法性能恶化的问题,构建了RIS辅助的高铁毫米波MIMO中继通信模型.首先,在列车位置信息不完全的情况下,估计并推导了RIS-车载移动中继(MRN)之间视线战略(LOS)路径角度估计误差的统计特性;其次,对毫米波MIMO系统的中断性能进行了研究,给出了以信道容量作为中断判决的中断概率表达式;最后,将优化问题建模为5G基站(gNB)发射功率约束的中断概率最小化问题,提出了一种基于黎曼共轭梯度下降的复圆流形优化算法并求解该问题.仿真结果表明,与现有算法和传统的无RIS系统以及RIS随机相位调节下的高铁通信系统相比,所提算法具有更快的收敛速度和更高的系统鲁棒性.
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.
张泽鹏;李翠然;吴昊;谢健骊;许琼
兰州交通大学电子与信息工程学院,甘肃 兰州 730070||北京交通大学北京市高速铁路宽带移动通信工程技术研究中心,北京 100044北京交通大学北京市高速铁路宽带移动通信工程技术研究中心,北京 100044兰州交通大学电子与信息工程学院,甘肃 兰州 730070
电子信息工程
高速铁路智能超表面毫米波MIMO鲁棒波束成形流行优化
high-speed railwayreconfigurable intelligent surfacemillimeter wave MIMOrobust beamformingmani-fold optimization
《通信学报》 2024 (005)
29-43 / 15
国家自然科学基金资助项目(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)
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