User Selection With Effective Channel Quality Feedback for PMI-Based MU-MIMO

This paper addresses user selection for precoding matrix indicator (PMI)-based multi-user multiple-input multiple-output (MU-MIMO) systems. Under a scenario where channel information can only be obtained through PMI, we formulate a problem to find a user set that maximizes the sum-rate of MU-MIMO with maximum ratio transmission precoding. We then analyze that the user set can be determined by solely considering the effective signal power, which is achieved by the convergence of the sum of interference as the numbers of users and antennas go to infinity. Based on the analysis, we propose a user selection algorithm that utilizes the effective signal power. To this end, we introduce feedback of the effective channel quality representing the effective signal power, which is then employed in choosing users. Simulation results demonstrate that our proposed user selection algorithm outperforms existing methods.

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Publication Details

Journal
IEEE Transactions on Vehicular Technology
Published
2024-11-18
DOI
https://doi.org/10.1109/tvt.2024.3500580
Primary Topic
Advanced MIMO Systems Optimization
Type
article
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article

User Selection With Effective Channel Quality Feedback for PMI-Based MU-MIMO

Kyungsik Min, Daesik Hong, Minchul Hong, Hyunwoo Lee
IEEE Transactions on Vehicular Technology
Advanced MIMO Systems Optimization
article

User Selection With Effective Channel Quality Feedback for PMI-Based MU-MIMO

Kyungsik Min, Daesik Hong, Minchul Hong, Hyunwoo Lee
article en

Abstract

This paper addresses user selection for precoding matrix indicator (PMI)-based multi-user multiple-input multiple-output (MU-MIMO) systems. Under a scenario where channel information can only be obtained through PMI, we formulate a problem to find a user set that maximizes the sum-rate of MU-MIMO with maximum ratio transmission precoding. We then analyze that the user set can be determined by solely considering the effective signal power, which is achieved by the convergence of the sum of interference as the numbers of users and antennas go to infinity. Based on the analysis, we propose a user selection algorithm that utilizes the effective signal power. To this end, we introduce feedback of the effective channel quality representing the effective signal power, which is then employed in choosing users. Simulation results demonstrate that our proposed user selection algorithm outperforms existing methods.

IEEE Transactions on Vehicular TechnologyVol. 74(3)
University of Suwon (KR), Yonsei University (KR)
Openalex Percentile: Top 82%
Advanced MIMO Systems Optimization
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