移动通信2024，Vol.48Issue(9)：166-172,7.DOI:10.3969/j.issn.1006-1010.20240909-0003
基于无蜂窝通感一体化系统的无人机轨迹优化
UAV Trajectory Optimization for Cellular-Free Integrated Sensing and Communication Systems
摘要
Abstract
UAV-assisted next-generation communication networks have garnered significant attention due to the high mobility and wide coverage capabilities of UAVs.Researchers have shown increasing interest in applying integrated sensing and communication(ISAC)techniques to UAV systems.However,most existing studies on UAV trajectory optimization within ISAC systems are based on cellular network architectures,where UAVs inevitably encounter challenges such as cell boundaries and handovers.Furthermore,many researchers simplify the communication models,often overlooking the interference caused by sensing signals on communication signals.In this study,we propose a cellular-free network architecture for UAV-assisted ISAC systems and employ a deep deterministic algorithm to optimize the UAV trajectory.The objective is to minimize the Cramér-Rao lower bound of the sensing target's position,while ensuring the uplink communication rate is maintained despite interference from sensing signals.The proposed communication and sensing models are validated through simulations,and the convergence performance of the deep deterministic algorithm is demonstrated.The results present the optimized UAV trajectory and analyze the corresponding variations in sensing and communication performance.关键词
无蜂窝/通感一体/无人机/轨迹优化Key words
cell-free/integrated sensing and communication/UAV/trajectory optimization分类
信息技术与安全科学引用本文复制引用
崔世林,薛婉雨,李佳珉..基于无蜂窝通感一体化系统的无人机轨迹优化[J].移动通信,2024,48(9):166-172,7.基金项目
国家重点研发计划项目"6G超低时延超高可靠大规模无线传输技术"(2021YFB2900300) （2021YFB2900300）
PCL重大重点项目(PCL2021A01-2) （PCL2021A01-2）
