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Auteurs principaux: Lai, Wenhai, Wu, Zheyu, Feng, Yi, Shen, Kaiming, Liu, Ya-Feng
Format: Preprint
Publié: 2024
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Accès en ligne:https://arxiv.org/abs/2407.20914
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author Lai, Wenhai
Wu, Zheyu
Feng, Yi
Shen, Kaiming
Liu, Ya-Feng
author_facet Lai, Wenhai
Wu, Zheyu
Feng, Yi
Shen, Kaiming
Liu, Ya-Feng
contents Intelligent reflecting surface (IRS) is an emerging technology to enhance spatial multiplexing in wireless networks. This letter considers the discrete passive beamforming design for IRS in order to maximize the minimum signal-to-interference-plus-noise ratio (SINR) among multiple users in an IRS-assisted downlink network. The main design difficulty lies in the discrete phase-shift constraint. Differing from most existing works, this letter advocates a convex-hull relaxation of the discrete constraints which leads to a continuous reformulated problem equivalent to the original discrete problem. This letter further proposes an efficient alternating projection/proximal gradient descent and ascent algorithm for solving the reformulated problem. Simulation results show that the proposed algorithm outperforms the state-of-the-art methods significantly.
format Preprint
id arxiv_https___arxiv_org_abs_2407_20914
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle An Efficient Convex-Hull Relaxation Based Algorithm for Multi-User Discrete Passive Beamforming
Lai, Wenhai
Wu, Zheyu
Feng, Yi
Shen, Kaiming
Liu, Ya-Feng
Information Theory
Signal Processing
Intelligent reflecting surface (IRS) is an emerging technology to enhance spatial multiplexing in wireless networks. This letter considers the discrete passive beamforming design for IRS in order to maximize the minimum signal-to-interference-plus-noise ratio (SINR) among multiple users in an IRS-assisted downlink network. The main design difficulty lies in the discrete phase-shift constraint. Differing from most existing works, this letter advocates a convex-hull relaxation of the discrete constraints which leads to a continuous reformulated problem equivalent to the original discrete problem. This letter further proposes an efficient alternating projection/proximal gradient descent and ascent algorithm for solving the reformulated problem. Simulation results show that the proposed algorithm outperforms the state-of-the-art methods significantly.
title An Efficient Convex-Hull Relaxation Based Algorithm for Multi-User Discrete Passive Beamforming
topic Information Theory
Signal Processing
url https://arxiv.org/abs/2407.20914