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Extremely Large-Scale Movable Antenna-Enabled Multiuser Communications: Modeling and Optimization

delete2026-01-01
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PRE
AI
M
Min Fu
L
Lipeng Zhu
R
Rui Zhang
DOI:10.1109/TWC.2026.3652098delete
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摘要

摘要

En 中文
Movable antenna (MA) has been recognized as a promising technology to improve communication performance in future wireless networks such as 6G. To unleash its potential, this paper proposes a novel architecture, namely extremely large-scale MA (XL-MA), which allows flexible antenna/subarray positioning over an extremely large spatial region for effectively enhancing near-field effects and spatial multiplexing performance. In particular, this paper studies an uplink XL-MA-enabled multiuser system, where single-antenna users distributed in a coverage area are served by a base station (BS) equipped with multiple movable subarrays. We begin by presenting a spatially non-stationary channel model to capture the near-field effects, including position-dependent large-scale channel gains and line-of-sight visibility. To evaluate system performance, we further derive a closed-form approximation of the expected weighted sum rate under maximum ratio combining (MRC), revealing that optimizing XL-MA placement enhances user channel power gain to increase desired signal power and reduces channel correlation to decreases multiuser interference. Building upon this, we formulate an antenna placement optimization problem to maximize the expected weighted sum rate, leveraging statistical channel conditions and user distribution. To efficiently solve this challenging non-linear binary optimization problem, we propose a polynomial-time successive replacement algorithm. Simulation results demonstrate that the proposed XL-MA placement strategy achieves near-optimal performance, significantly outperforming benchmark schemes based on conventional fixed-position antennas.
Keyword:
Extremely large-scale movable antenna (XL-MA)
near-field communication
non-stationary channel
antenna position optimization

期刊

IEEE Transactions on Wireless Communications 封面图
IEEE Transactions on Wireless Communications
IF:
10.7
论文数:
1.3W
被引数:
5.3W

机构

N
national university of singapore
学者数:
4.6K
论文数: 2.4K
被引数: 1
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