移动通信2026，Vol.50Issue(6)：53-61,9.DOI:10.3969/j.issn.1006-1010.20260402-0002
基于协作感知与状态预测的多基站联合传输设计
Multi-Point Joint Transmission Based on Cooperative Sensing and State Prediction
曹婉瑞 1夏方昊 1张嘉慧 1王新奕 1费泽松1
作者信息
摘要
Abstract
To address the issues of outdated channel state information(CSI)caused by the high mobility of low-altitude unmanned aerial vehicles(UAVs),as well as the large pilot overhead and limited accuracy of conventional beam training methods,a cooperative sensing-assisted beamforming scheme under joint transmission(JT)is investigated.Based on a distributed space-time block coding(DSTBC)-enabled integrated sensing and communication(ISAC)framework,a system model is established for multiple base stations with multi-antenna system serving multiple UAV users.Zero-forcing(ZF)precoding is adopted to suppress multi-user interference,and a distributed extended Kalman filtering(DEKF)algorithm is improved by incorporating cooperative sensing information and state prediction mechanisms,enabling multi-target tracking and angle prediction.On this basis,the predicted results are utilized to design the beamforming matrix,thereby reducing the dependence on pilot training and feedback while improving CSI timeliness and beam alignment accuracy.Simulation results demonstrate that the proposed method significantly reduces the angle estimation errors under different antenna configurations,user numbers,and observation intervals and achieves higher system throughput compared with single-station transmission.Moreover,the proposed method exhibits strong robustness and scalability in high-mobility multi-user scenarios.关键词
协作感知/联合传输/波束赋形/状态预测Key words
cooperative sensing/joint transmission/beamforming/state prediction分类
信息技术与安全科学引用本文复制引用
曹婉瑞,夏方昊,张嘉慧,王新奕,费泽松..基于协作感知与状态预测的多基站联合传输设计[J].移动通信,2026,50(6):53-61,9.
