Sum Rate and Fairness Optimization for Intelligent Reflecting Surface Aided Multiuser Systems

Citations

WEB OF SCIENCE

15
Citations

SCOPUS

15

초록

In this paper, we propose a new beamforming design for intelligent reflecting surface (IRS) assisted multi-user systems where a base station with multiple antennas support several users with an aid of an IRS. We jointly optimize the sum rate and the user fairness by adopting a single objective function. To tackle the non-convex problem, we present an iterative algorithm based on the successive convex approximation method. Simulation results demonstrate that the proposed scheme outperforms other conventional IRS based schemes in terms of both the sum-rate and user fairness.

키워드

Array signal processing; Transmission line matrix methods; Linear programming; Approximation algorithms; Wireless communication; Signal to noise ratio; MIMO communication; Intelligent reflecting surface; fairness; joint active and passive beamforming design; ALGORITHMS
제목
Sum Rate and Fairness Optimization for Intelligent Reflecting Surface Aided Multiuser Systems
저자
Woo, Jeonghyeon; Song, Changick; Lee, Inkyu
DOI
10.1109/TVT.2021.3123661
발행일
2021-12
유형
Article
저널명
IEEE Transactions on Vehicular Technology
권
70
호
12
페이지
13436 ~ 13440