Near-Field Multiuser Communications Aided by Movable Antennas

This letter investigates movable antenna (MA)-aided downlink (DL) multiuser communication systems under the near-field channel condition, where both the base station (BS) and the users are equipped with MAs to fully exploit the degrees of freedom (DoFs) in antenna position optimization. We develop a general channel model to accurately describe the channel characteristics in the near-field region and formulate an MA-position optimization problem to minimize the BS’s transmit power subject to users’ individual rate constraints. To solve this problem, we propose a two-loop dynamic neighborhood pruning particle swarm optimization (DNPPSO) algorithm that significantly reduces the computational complexity as compared to the standard particle swarm optimization (PSO) algorithm while achieving similar performance. Simulation results validate the effectiveness and advantages of the proposed scheme in power-saving for near-field multiuser communications.

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Publication Details

Journal
IEEE Wireless Communications Letters
Published
2024-11-04
DOI
https://doi.org/10.1109/lwc.2024.3490697
Citations
37
Primary Topic
Antenna Design and Analysis
Type
article
Field-Weighted Citation Impact
48.06

Funders

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article

Near-Field Multiuser Communications Aided by Movable Antennas

Zijian Zhou, Lipeng Zhu, Jingze Ding, Bingli Jiao et al.
37 citations
IEEE Wireless Communications Letters
Antenna Design and Analysis
48.06
article

Near-Field Multiuser Communications Aided by Movable Antennas

Zijian Zhou, Lipeng Zhu, Jingze Ding, Bingli Jiao, Rui Zhang
article en
37 citations

Abstract

This letter investigates movable antenna (MA)-aided downlink (DL) multiuser communication systems under the near-field channel condition, where both the base station (BS) and the users are equipped with MAs to fully exploit the degrees of freedom (DoFs) in antenna position optimization. We develop a general channel model to accurately describe the channel characteristics in the near-field region and formulate an MA-position optimization problem to minimize the BS’s transmit power subject to users’ individual rate constraints. To solve this problem, we propose a two-loop dynamic neighborhood pruning particle swarm optimization (DNPPSO) algorithm that significantly reduces the computational complexity as compared to the standard particle swarm optimization (PSO) algorithm while achieving similar performance. Simulation results validate the effectiveness and advantages of the proposed scheme in power-saving for near-field multiuser communications.

IEEE Wireless Communications LettersVol. 14(1)
National University of Singapore (SG), Peking University (CN), Chinese University of Hong Kong, Shenzhen (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 0%
Antenna Design and Analysis
48.06
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