空天预警研究学报2025，Vol.39Issue(4)：263-266,273,5.DOI:10.3969/j.issn.2097-180X.2025.04.007
一种面向IRS-UAV系统的用户速率优化方法
A user rate optimization algorithm for IRS-aided UAV systems
摘要
Abstract
In order to maximize the user rate of the intelligent reflecting surface(IRS)-assisted UAV commu-nication system,this paper proposes a channel estimation-based rate maximization(CERM)algorithm.Firstly,a maximum rate optimization model for the joint IRS phase matrix design and user bandwidth allocation,and then,based on the Bayesian iterative group approximate message passing(BIG-AMP)algorithm,the channel state infor-mation estimation of user-IRS and IRS-base station links is completed.Finally,the block coordinate descent(BCD)algorithm is adopted to iteratively solve the optimization problem and obtain the optimal IRS phase matrix and user bandwidth configuration scheme.Simulation results show that,compared with the compressive sensing method,the proposed method has higher estimation accuracy and lower complexity,which can significantly im-prove the information rate performance of the system.关键词
智能反射面/信道估计/贝叶斯迭代/组近似消息传递/相位矩阵/信息速率Key words
intelligent reflecting surface/channel estimation/Bayesian iteration/group approximate message passing/phase matrix/information rate分类
信息技术与安全科学引用本文复制引用
唐一韬,王如龙,杨洪朝..一种面向IRS-UAV系统的用户速率优化方法[J].空天预警研究学报,2025,39(4):263-266,273,5.基金项目
国家自然科学基金资助项目(7217010719,72171026) （7217010719,72171026）
