电讯技术2026，Vol.66Issue(6)：988-996,9.DOI:10.20079/j.issn.1001-893x.251012004
可移动阵元STAR-RIS辅助抗干扰传输:基于DDPG算法的双尺度优化
Movable Element STAR-RIS Assisted Anti-jamming Transmission:Two-timescale Optimization via DDPG Algorithm
摘要
Abstract
For the problem of excessive channel estimation overhead in the anti-jamming system assisted by movable elements based simultaneous transmitting and reflecting reconfigurable intelligent surface(ME-STAR-RIS),a two-timescale collaborative optimization method for anti-jamming transmission is proposed by leveraging the deep deterministic policy gradient(DDPG)algorithm.First,long-term element positions are optimized using statistical channel state information(CSI),then the instantaneous CSI is estimated based on the optimized element positions,which further enables the optimization of short-term beamforming.To address the optimization challenges posed by high-dimensional continuous state spaces and continuous action spaces(such as element positions and phase shift coefficients),the DDPG algorithm is introduced to achieve dynamic policy learning.Simulation results demonstrate that although this method incurs a performance loss of approximately 1.5 b/s/Hz compared with the joint optimization scheme based on instantaneous CSI,it significantly reduces the channel estimation overhead.关键词
可重构智能表面/ME-STAR-RIS/抗干扰传输/统计信道状态信息/双尺度优化/深度确定性策略梯度算法Key words
IRS/ME-STAR-RIS/anti-jamming transmitting/statistical CSI/two-timescale optimization/DDPG algorithm分类
信息技术与安全科学引用本文复制引用
叶子绿,许魁,周涛,曾铭聪,张北华..可移动阵元STAR-RIS辅助抗干扰传输:基于DDPG算法的双尺度优化[J].电讯技术,2026,66(6):988-996,9.基金项目
国家自然科学基金面上项目(62471488,61671472) （62471488,61671472）
