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Sum Rate and Fairness Optimization for Intelligent Reflecting Surface Aided Multiuser Systems
- Woo, Jeonghyeon;
- Song, Changick;
- Lee, Inkyu
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15초록
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
- 발행일
- 2021-12
- 유형
- Article
- 권
- 70
- 호
- 12
- 페이지
- 13436 ~ 13440
- 언어
- ENG
- 출판사
- IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
- 발행국가
- 미국
- 분량
- 5 페이지
- ISSN
- E 1939-9359
P 0018-9545