电讯技术2025，Vol.65Issue(6)：855-863,9.DOI:10.20079/j.issn.1001-893x.240706002
干扰环境下多无人机中继通信轨迹与资源联合优化
Joint Optimization of Trajectories and Resources for Multi-UAV Relay Communications in Interference Environments
摘要
Abstract
In unmanned aerial vehicle(UAV)relay communication scenarios,non-orthogonal multiple access(NOMA)brings new opportunities and challenges for multi-UAV(MUAV)relay.For the service capability and fairness of MUAV relay downlink NOMA under interference environments,a joint optimization method of MUAV trajectory and resources is proposed.Firstly,the flight path points are obtained as trajectory optimization variables by flight limitation of UAV.Then,the channel-user matching and channel-UAV matching are completed by using Kuhn-Munkres algorithm twice.Finally,the flight trajectory of MUAV is optimized by using the Crested Porcupine Optimizer(CPO)algorithm,the channel-user-UAV matching is re-performed according to the optimization results,and the iterative loop is performed until the qualifying conditions.Simulation results show that the proposed algorithm improves the performance of the two benchmark algorithms by about 21.6%and 3.5%,respectively,and is able to effectively fit the UAV paths,achieve effective anti-jamming through trajectory optimization and resource allocation,and improve the system throughput while ensuring the fairness of user services.关键词
多无人机/中继通信/干扰环境/非正交多址接入(NOMA)/冠豪猪优化算法(CPO)Key words
multi-UAV/relay communication/interference environment/non-orthogonal multiple access(NOMA)/crested porcupine optimizer(CPO)分类
信息技术与安全科学引用本文复制引用
陈勇,侯颖智,王伟,陈泳,张余..干扰环境下多无人机中继通信轨迹与资源联合优化[J].电讯技术,2025,65(6):855-863,9.基金项目
国防科技大学科研计划项目(ZK21-47) （ZK21-47）
