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1.兰州交通大学电子与信息工程学院,甘肃 兰州 730070
2.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
[ "张泽鹏(1998- ),男,甘肃白银人,兰州交通大学博士生,主要研究方向为智能超表面、轨道交通通信、智能隐蔽通信。" ]
[ "李翠然(1975- ),女,山西黎城人,博士,兰州交通大学教授、博士生导师,主要研究方向为高速铁路智能无线通信、无线传感器网络、协同通信技术等。" ]
[ "吴昊(1973- ),女,江苏常熟人,博士,北京交通大学教授、博士生导师,主要研究方向为智能交通系统、无线网络、物联网等。" ]
[ "谢健骊(1972- ),男,甘肃陇西人,博士,兰州交通大学教授、博士生导师,主要研究方向为高铁智能通信、认知无线电、铁路物联网技术等。" ]
[ "许琼(1982- ),女,甘肃兰州人,兰州交通大学博士生,主要研究方向为智能超表面、大规模天线阵、铁路无线通信等。" ]
收稿日期:2023-11-09,
修回日期:2024-04-15,
纸质出版日期:2024-05-30
移动端阅览
张泽鹏,李翠然,吴昊等.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(05):29-43.
ZHANG Zepeng,LI Cuiran,WU Hao,et al.Robust beamforming algorithm for RIS-MIMO system based on train prior information[J].Journal on Communications,2024,45(05):29-43.
张泽鹏,李翠然,吴昊等.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(05):29-43. DOI: 10.11959/j.issn.1000-436x.2024095.
ZHANG Zepeng,LI Cuiran,WU Hao,et al.Robust beamforming algorithm for RIS-MIMO system based on train prior information[J].Journal on Communications,2024,45(05):29-43. DOI: 10.11959/j.issn.1000-436x.2024095.
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 statistical 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 expression 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.
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