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arXiv · 2604.19338

Hybrid Beamforming for Subarray-Level Movable Antenna Enhanced MU-MIMO Communications

Shanshan Zhang·Songjie Yang·Wenxuan Zhang·Youzhi Xiong·Siya Yao
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Abstract

This study investigates subarray-level movable antenna (MA) architecture for multi-user MIMO (MU-MIMO) systems. Unlike conventional systems with fixed-position antennas (FPAs), the proposed scheme harnesses the additional positional degrees of freedom (DoFs) of movable subarrays to enhance spatial multiplexing capabilities for both multi-user and multi-stream communications. Our objective is to maximize the overall system spectral efficiency by jointly optimizing the hybrid beamforming design and the positions of all subarrays. To tackle this challenging non-convex optimization problem, we first adopt a block diagonalization (BD) based digital precoder to effectively eliminate multi-user interference. Subsequently, the joint optimization of the analog beamformer and the subarray positions is efficiently solved using a sequential interference cancellation (SIC)-based algorithm. Simulation results demonstrate that the proposed SIC-MA method significantly outperforms the benchmark SIC-FPA scheme where subarrays are fixed.

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Shanshan Zhang, Songjie Yang, Wenxuan Zhang, Youzhi Xiong, Siya Yao. 2026-04-21. Hybrid Beamforming for Subarray-Level Movable Antenna Enhanced MU-MIMO Communications. https://arxiv.org/abs/2604.19338

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