湖南大学学报（自然科学版）2026，Vol.53Issue(6)：120-130,11.DOI:10.16339/j.cnki.hdxbzkb.2026277
MA辅助RIS-MIMO系统的信道模型分析及优化
Channel model analysis and optimization for RIS-MIMO system with MA assistance
摘要
Abstract
In communication scenarios where line-of-sight links are absent,and the featuring rich scattering environment is rich,fixed antenna systems in reconfigurable intelligent surface(RIS)-aided multiple input multiple output(MIMO)communications face various challenges,such as channel gain degradation caused by severe multipath fading.To mitigate these multipath effects,this study converts both the base station(BS)antenna and the user equipment(UE)antenna into a movable antenna(MA)to improve the rank structure of the channel matrix and construct an MA-RIS-MIMO system tailored for rich scattering environments.First,the system is modeled,and the cascaded BS-RIS and RIS-UE channel models,as well as channel gain expressions,are derived for single-path,dual-path,triple-path,and multipath scenarios under known point-to-point channels.Then,based on these channel models,objective functions for system performance and rate are formulated,which optimize the BS and UE antenna positions,the RIS phase shift matrix,and BS transmit power.A fractional programming-based joint gradient ascent method is then applied to solve the optimization problem.Finally,simulation results demonstrate that the system utilizing MA at both BS and UE has a sum-rate gain of at least 6.4 bps/Hz compared with a fixed-position RIS-MIMO system,thereby validating the effectiveness of the established channel model for the proposed MA-RIS-MIMO framework.关键词
可移动天线/可重构智能表面/多输入多输出/分式规划/梯度上升Key words
movable antenna/reconfigure intelligent surface/multiple input multiple output/fractional programming/gradient ascent分类
信息技术与安全科学引用本文复制引用
杨青青,姚励行,彭艺,王健明,李辉..MA辅助RIS-MIMO系统的信道模型分析及优化[J].湖南大学学报（自然科学版）,2026,53(6):120-130,11.基金项目
国家自然科学基金资助项目(62461030),National Natural Science Foundation of China(62461030) （62461030）
云南省基础研究重点项目(202401AS070105) （202401AS070105）
Yunnan Province Basic Research Program Key Project(202401AS070105) （202401AS070105）
