移动通信2024，Vol.48Issue(4)：27-34,8.DOI:10.3969/j.issn.1006-1010.20240326-0002
RIS辅助的通感性能联合优化研究
Research on Reconfigurable Intelligent Surface-assisted Joint Optimization of Communication and Sensing Performances
摘要
Abstract
Integrated sensing and communication(ISAC)is one of the major 6G scenarios.In order to solve the problem of reduced performances of communication and sensing in an area under non-line-of-sight transmission due to obstacles,a joint optimization approach is proposed for the reconfigurable intelligent surface(RIS)-assisted ISAC performance.Firstly,the area performance joint optimization problem is formulated to minimize squared position error bound(SPEB)and maximize the average coverage signal strength.Then an improved dung beetle optimizer(DBO)algorithm is proposed to quickly obtain the deployment position and phase parameters of RISs.Furthermore,the impacts of detection demand factor and RIS size on the area ISAC performance are analyzed.The simulation results show that compared with merely optimizing desired angle of reflection of RIS,jointly optimizing its deployment location and the desired angle of reflection can reduce the regional average SPEB by about 80%.Meanwhile,the improved DBO algorithm has a faster convergence speed and a better fitness compared with traditional optimization algorithms such as particle swarm optimization,sparrow search algorithm and the original DBO algorithm.关键词
智能超表面/通感一体化/6G/粒子群优化算法/麻雀搜索算法/蜣螂优化算法Key words
reconfigurable intelligent surface/integrated sensing and communication/6G/particle swarm optimization/sparrow search algorithm/dung beetle optimizer分类
电子信息工程引用本文复制引用
庄宏成,卢浩宇,谢杰铭,钭奕煊..RIS辅助的通感性能联合优化研究[J].移动通信,2024,48(4):27-34,8.基金项目
国家重点研发计划"具有开放扩展架构的模块化移动终端技术"(2021YFA0716600) （2021YFA0716600）
