自持续HIRS辅助的MU-MISO系统公平性研究  

Research on Fairness for Self-Sustainable HIRS-Assisted MU-MISO System

作　　者：赵丽娟 张毅[1] ZHAO Lijuan;ZHANG Yi(School of Communications and Information Engineering,Chongqing University of Posts and Telecommunications,Chongqing 400065,China)

机构地区：[1]重庆邮电大学通信与信息工程学院,重庆400065

出　　处：《通信技术》2024年第2期111-118,共8页Communications Technology

摘　　要：针对自持续智能反射面(Intelligent Reflecting Surface,IRS)存在牺牲系统性能和实施难度大等问题,提出了一种包含被动元件和主动元件的混合IRS(Hybrid IRS,HIRS)自持续辅助多用户多输入单输出(Multi-User Multiple Input Single Output, MU-MISO)系统的公平性传输方案。为了实现多用户通信的公平,联合考虑基站的主动波束成形和HIRS系数矩阵,建立了以最大化最小用户速率为目标的优化问题。然而,由于约束条件和目标问题中存在多变量耦合,导致优化问题是非凸的。因此,将原始问题分解为2个单变量的子问题,然后利用逐次凸近似和半正定松弛方法获得每个子问题的近似解,最后利用交替优化算法迭代求解每个子问题。仿真结果表明,所提优化方案可有效提高系统的最小速率。To address the problems that self-sustainable IRS(Intelligent Reflecting Surface)sacrifices system performance and is difficult to implement,a self-sustainable HIRS(Hybrid IRS)containing passive and active reflecting elements assisted multi-user multiple input single output system fairness transmission scheme is proposed.To achieve fairness in multi-user communication,the active beamforming of the base station and HIRS coefficient matrix are jointly considered to establish an optimization problem with the goal of maximizing the minimum user rate.However,due to the multi-variable coupling in the constraints and objective function,the optimization problem is non-convex.Therefore,the original problem is decomposed into two single-variable subproblems,and then the approximate solution of each subproblem is obtained by successive convex approximation and semi-definite relaxation methods.Finally,an alternating optimization algorithm is used to solve each subproblem iteratively.The simulation results indicate that the proposed optimization scheme can effectively improve the minimum rate of the system.

关 键 词：混合智能反射面 自持续 波束成形 公平性 

分 类 号：TN929.5[电子电信—通信与信息系统]