Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

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

Authors
Woo, JeonghyeonSong, ChangickLee, Inkyu
Issue Date
12월-2021
Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Keywords
Approximation algorithms; Array signal processing; Intelligent reflecting surface; Linear programming; MIMO communication; Signal to noise ratio; Transmission line matrix methods; Wireless communication; fairness; joint active and passive beamforming design
Citation
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, v.70, no.12, pp.13436 - 13440
Indexed
SCIE
SCOPUS
Journal Title
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
Volume
70
Number
12
Start Page
13436
End Page
13440
URI
https://scholar.korea.ac.kr/handle/2021.sw.korea/135668
DOI
10.1109/TVT.2021.3123661
ISSN
0018-9545
Abstract
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.
Files in This Item
There are no files associated with this item.
Appears in
Collections
College of Engineering > School of Electrical Engineering > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher Lee, In kyu photo

Lee, In kyu
공과대학 (전기전자공학부)
Read more

Altmetrics

Total Views & Downloads

BROWSE