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

Jeonghyeon Woo; Changick Song; Inkyu Lee

doi:10.1109/TVT.2021.3123661

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

Jeonghyeon Woo, Changick Song, Inkyu Lee

Research output: Contribution to journal › Article › peer-review

13 Citations (Scopus)

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.

Original language	English
Pages (from-to)	13436-13440
Number of pages	5
Journal	IEEE Transactions on Vehicular Technology
Volume	70
Issue number	12
DOIs	https://doi.org/10.1109/TVT.2021.3123661
Publication status	Published - 2021 Dec 1

Bibliographical note

Funding Information:
This work was supported by the National Research Foundation of Korea (NRF) funded by the Ministry of Science and ICT (MSIT), Korea Government under Grants 2017R1A2B3012316 and 2021R1A2C2012558.

Publisher Copyright:
© 1967-2012 IEEE.

Keywords

Intelligent reflecting surface
fairness
joint active and passive beamforming design

ASJC Scopus subject areas

Automotive Engineering
Aerospace Engineering
Electrical and Electronic Engineering
Applied Mathematics

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10.1109/TVT.2021.3123661

Cite this

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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.",

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AU - Song, Changick

AU - Lee, Inkyu

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PY - 2021/12/1

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N2 - 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.

AB - 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.

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

Abstract

Bibliographical note

Keywords

ASJC Scopus subject areas

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