电讯技术2025，Vol.65Issue(9)：1461-1469,9.DOI:10.20079/j.issn.1001-893x.240506007
有源STAR-RIS辅助的通信感知一体化系统联合优化设计
Joint Optimization Design of Active STAR-RIS-assisted Integrated Sensing and Communication Systems
摘要
Abstract
For the problem of full-space coverage of communication and sensing services across multiple users and targets,the integrated sensing and communication(ISAC)system assisted by the active simultaneously transmitting and reflecting reconfigurable intelligent surface(STAR-RIS)is investigated.Different from the existing research works,this scheme models and optimizes the amplitude parameters of the active STAR-RIS.Considering the signal-to-interference-plus-noise ratio requirements of each communication user,the illumination beampattern gain of each sensed target,and the hardware constraints of the active STAR-RIS,the joint optimization design problem is modeled to minimize the total system power.This involves key parameters such as the transmit beamforming vector of the ISAC base station and the phase/amplitude of the active STAR-RIS.To efficiently tackle this intricate non-convex joint optimization design problem,it is initially decomposed into three sub-problems:the transmit beamforming design of the ISAC base station,the phase shift parameter design and amplitude parameter optimization of the active STAR-RIS components.Then a block coordinate descent strategy is adopted to iteratively solve these sub-problems to obtain the optimal solution.Simulation results demonstrate that,compared with the existing research schemes,the joint optimization design algorithm proposed in this scheme effectively reduces the total system power by 30%,achieving a good trade-off between complexity and communication sensing performance.关键词
通信感知一体化(ISAC)/STAR-RIS/波束赋形/联合优化设计Key words
integrated sensing and communication(ISAC)/STAR-RIS/beamforming/joint optimization design分类
信息技术与安全科学引用本文复制引用
彭俊杰,王丰,丁克..有源STAR-RIS辅助的通信感知一体化系统联合优化设计[J].电讯技术,2025,65(9):1461-1469,9.基金项目
国家自然科学基金资助项目(61901124) （61901124）
广东省自然科学基金资助项目(2021A1515012305) （2021A1515012305）
广东省研究生创新教育创新计划(2023JGXM_048) （2023JGXM_048）
