Bidirectional Restricted AP Selection for Cell-Free Massive MIMO Systems

Cell-free massive MIMO systems serve users through geographically distributed access points (APs). However, if all APs provide services to each user, it will result in high power consumption and low energy efficiency. To solve this problem, we propose a user equipment (UE) priority criterion and an AP selection scheme. The criterion requires the system to prioritize serving more important UEs in order of priority. Moreover, a bidirectional restricted method was employed in the AP selection scheme. The outcomes of simulations indicate that the proposed scheme outperforms related works in both spectral efficiency and energy efficiency.

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Publication Details

Journal
IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences
Published
2025-03-12
DOI
https://doi.org/10.1587/transfun.2024eal2103
Primary Topic
Advanced MIMO Systems Optimization
Type
article
Field-Weighted Citation Impact
0.00

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article

Bidirectional Restricted AP Selection for Cell-Free Massive MIMO Systems

Yanli Xu, Feng Liu, Jun Gao, Kehui YAN
IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences
Advanced MIMO Systems Optimization
article

Bidirectional Restricted AP Selection for Cell-Free Massive MIMO Systems

Yanli Xu, Feng Liu, Jun Gao, Kehui YAN
article en

Abstract

Cell-free massive MIMO systems serve users through geographically distributed access points (APs). However, if all APs provide services to each user, it will result in high power consumption and low energy efficiency. To solve this problem, we propose a user equipment (UE) priority criterion and an AP selection scheme. The criterion requires the system to prioritize serving more important UEs in order of priority. Moreover, a bidirectional restricted method was employed in the AP selection scheme. The outcomes of simulations indicate that the proposed scheme outperforms related works in both spectral efficiency and energy efficiency.

IEICE Transactions on Fundamentals of Electronics Communications and Computer SciencesVol. E108.A(9)
Shanghai Maritime University (CN)
National Natural Science Foundation of China, Shanghai Municipal Education Commission
Openalex Percentile: Top 97%
Advanced MIMO Systems Optimization
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