Capacity Optimization Using Augmented Lagrange Method in Intelligent Reflecting Surface-Based MIMO Communication Systems  

作　　者：Daina Chang Hao Jiang Jie Zhou Hongming Zhang Mithun Mukherjee 

机构地区：[1]College of Electronic and Information Engineering,Nanjing University of Information Science and Technology,Nanjing 210044,China [2]College of Artificial Intelligence,Nanjing University of Information Science and Technology,Nanjing 210044,China [3]National Mobile Communications Research Laboratory,Southeast University,Nanjing 210096,China [4]School of Information and Communication Engineering,Beijing University of Posts and Telecommunications,Beijing 100876,China

出　　处：《China Communications》2020年第12期123-138,共16页中国通信（英文版）

基　　金：This work was supported by the National Natural Science Foundation of China(No.61771248,61971167,62001056);Startup Foundation for Introducing Talent of NUIST,and Open Research Fund of National Mobile Communications Research Laboratory,Southeast University(No.2020D14).

摘　　要：In this paper,we present an algorithm for capacity optimization in intelligent reflecting surface(IRS)-based multiple-input multiple-output(MIMO)communication systems.To maximize the capacity of elements in IRS,we use augmented Lagrange method with the equivalent transformations on the covariance matrix and reflection matrix constraints.This results an adjustable phase shift on the incident signal.Furthermore,we reshape the complex-valued covariance matrix and reflection matrix to a vector for the ease of calculating partial derivatives to find the search direction.Then,the quasi-Newton updates and modified Broyden-Fletcher-Goldfarb-Shano(BFGS)method in the complex domain form are used to find the local minimum.Finally,numerical simulation results demonstrate that our proposed IRS-aided system using the algorithm performs better than the state-of-the-art and the conventional communication systems.

关 键 词：IRS capacity augmented Lagrange quasi-Newton updates BFGS 

分 类 号：TN929.5[电子电信—通信与信息系统]