Movable-Antenna Enabled Cell-Free Networks

In this paper, we investigate the utilization of movable antennas (MAs) in cell-free networks to reduce transmit power consumption. Different from conventional networks with fixed-position antennas (FPAs), the proposed MA-enabled cell-free network flexibly adjusts the antenna positions in a given finite area. As such, the channels between multiple access points (APs) and user equipments (UEs) can be reconfigured to create more favorable channel conditions. To minimize the maximum transmit power of APs in the considered network, a non-convex problem is formulated by jointly optimizing the transmit beamforming and MA positions. Then, we propose a dynamic neighborhood pruning particle swarm optimization (DNPPSO) algorithm to solve this problem efficiently. Simulation results show that the proposed scheme with MAs can significantly reduce the transmit power consumption in cell-free networks compared to benchmarks with FPAs by exploiting the degrees of freedom (DoFs) in antenna position optimization.

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Publication Details

Journal
IEEE Transactions on Vehicular Technology
Published
2025-06-02
DOI
https://doi.org/10.1109/tvt.2025.3570133
Citations
4
Primary Topic
Cooperative Communication and Network Coding
Type
article
Field-Weighted Citation Impact
5.95
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article

Movable-Antenna Enabled Cell-Free Networks

Hao Wei, Wanli Ni, Yongming Huang, Wen Wang et al.
4 citations
IEEE Transactions on Vehicular Technology
Cooperative Communication and Network Coding
5.95
article

Movable-Antenna Enabled Cell-Free Networks

Hao Wei, Wanli Ni, Yongming Huang, Wen Wang, Cheng Zhang
article en
4 citations

Abstract

In this paper, we investigate the utilization of movable antennas (MAs) in cell-free networks to reduce transmit power consumption. Different from conventional networks with fixed-position antennas (FPAs), the proposed MA-enabled cell-free network flexibly adjusts the antenna positions in a given finite area. As such, the channels between multiple access points (APs) and user equipments (UEs) can be reconfigured to create more favorable channel conditions. To minimize the maximum transmit power of APs in the considered network, a non-convex problem is formulated by jointly optimizing the transmit beamforming and MA positions. Then, we propose a dynamic neighborhood pruning particle swarm optimization (DNPPSO) algorithm to solve this problem efficiently. Simulation results show that the proposed scheme with MAs can significantly reduce the transmit power consumption in cell-free networks compared to benchmarks with FPAs by exploiting the degrees of freedom (DoFs) in antenna position optimization.

IEEE Transactions on Vehicular TechnologyVol. 74(10)
Beijing University of Posts and Telecommunications (CN), Purple Mountain Laboratories (CN), Tsinghua University (CN)
Openalex Percentile: Top 4%
Cooperative Communication and Network Coding
5.95
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Movable-Antenna Enabled Cell-Free Networks — Hao Wei, Wanli Ni, et al. · IEEE Transactions on Vehicular Technology (2025) | TGRS Research Map | TGRS