电讯技术2026，Vol.66Issue(9)：1482-1491,10.DOI:10.20079/j.issn.1001-893x.250329001
混合RIS辅助的通感一体化系统联合优化设计
Joint Optimization Design of Hybrid RIS-assisted Integrated Sensing and Communication(ISAC)Systems
摘要
Abstract
Focusing on the problem of maximizing the weighted sum-rate of communication in multi-user multi-target communication and sensing services,the integrated sensing and communication(ISAC)system assisted by hybrid reconfigurable intelligent surface(RIS)is investigated.A joint optimization model for key parameters including ISAC base station transmit beamforming,hybrid RIS reflection coefficients,and hybrid RIS active/passive mode distribution is established under constraints on the total system power,per-sensing-target beampattern gain,and hybrid RIS noise power,with the objective of maximizing the weighted sum-rate of communication.To expedite the system design,the original problem is first transformed into a rank-constrained semidefinite programming problem.Then,the system design problem is decomposed into three subproblems:the optimization of the ISAC base station beamforming matrix,the hybrid RIS reflection coefficient matrix,and the hybrid RIS mode distribution matrix.A same timescale alternating optimization scheme based on semidefinite relaxation is proposed.Furthermore,a low-complexity two timescales scheme is designed,in which the RIS mode distribution is optimized based on statistical channel information at the large timescale and the beamforming and reflection coefficients are alternately optimized based on instantaneous channel information at the small timescale.Simulation results demonstrate that the same timescale scheme improves the weighted sum-rate by approximately 10%compared with the two timescales scheme.关键词
通感一体化(ISAC)系统/通信加权速率和/混合智能反射面/双时间尺度Key words
integrated sensing and communication(ISAC)system/weighted sum-rate of communication/hybrid reconfigurable intelligent surface/two timescales分类
信息技术与安全科学引用本文复制引用
吴帅康,王丰,丁克..混合RIS辅助的通感一体化系统联合优化设计[J].电讯技术,2026,66(9):1482-1491,10.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）
