Cell-Free MIMO with Rotatable Antennas: When Macro-Diversity Meets Antenna Directivity

Fuente: arXiv
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Main Authors: Peng, Xingxiang, Wu, Qingqing, Zheng, Ziyuan, Zhu, Yanze, Chen, Wen, Huang, Penghui, Gao, Ying, Wang, Honghao
Format: Preprint
Published: 2026
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_version_ 1866909015550722048
author Peng, Xingxiang
Wu, Qingqing
Zheng, Ziyuan
Zhu, Yanze
Chen, Wen
Huang, Penghui
Gao, Ying
Wang, Honghao
author_facet Peng, Xingxiang
Wu, Qingqing
Zheng, Ziyuan
Zhu, Yanze
Chen, Wen
Huang, Penghui
Gao, Ying
Wang, Honghao
contents Cell-free networks leverage distributed access points (APs) to achieve macro-diversity, yet their performance is often constrained by large disparities in channel quality arising from user geometry and blockages. To address this, rotatable antennas (RAs) add a lightweight hardware degree of freedom by steering the antenna boresight toward dominant propagation directions to strengthen unfavorable links, thereby enabling the network to better exploit macro-diversity for higher and more uniform performance. This paper investigates an RA-enabled cell-free downlink network and formulates a max-min rate problem that jointly optimizes transmit beamforming and antenna orientations. To tackle this challenging problem, we develop an alternating-optimization-based algorithm that iteratively updates the beamformers via a second-order cone program (SOCP) and optimizes the antenna orientations using successive convex approximation. To reduce complexity, we further propose an efficient two-stage scheme that first designs orientations by maximizing a proportional-fair log-utility using manifold-aware Frank-Wolfe updates, and then computes the beamformers using an SOCP-based design. Simulation results demonstrate that the proposed orientation-aware designs achieve a substantially higher worst-user rate than conventional beamforming-only benchmarks. Furthermore, larger antenna directivity enhances fairness with proper orientation but can degrade the worst-user performance otherwise.
format Preprint
id arxiv_https___arxiv_org_abs_2601_16543
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Cell-Free MIMO with Rotatable Antennas: When Macro-Diversity Meets Antenna Directivity
Peng, Xingxiang
Wu, Qingqing
Zheng, Ziyuan
Zhu, Yanze
Chen, Wen
Huang, Penghui
Gao, Ying
Wang, Honghao
Signal Processing
Cell-free networks leverage distributed access points (APs) to achieve macro-diversity, yet their performance is often constrained by large disparities in channel quality arising from user geometry and blockages. To address this, rotatable antennas (RAs) add a lightweight hardware degree of freedom by steering the antenna boresight toward dominant propagation directions to strengthen unfavorable links, thereby enabling the network to better exploit macro-diversity for higher and more uniform performance. This paper investigates an RA-enabled cell-free downlink network and formulates a max-min rate problem that jointly optimizes transmit beamforming and antenna orientations. To tackle this challenging problem, we develop an alternating-optimization-based algorithm that iteratively updates the beamformers via a second-order cone program (SOCP) and optimizes the antenna orientations using successive convex approximation. To reduce complexity, we further propose an efficient two-stage scheme that first designs orientations by maximizing a proportional-fair log-utility using manifold-aware Frank-Wolfe updates, and then computes the beamformers using an SOCP-based design. Simulation results demonstrate that the proposed orientation-aware designs achieve a substantially higher worst-user rate than conventional beamforming-only benchmarks. Furthermore, larger antenna directivity enhances fairness with proper orientation but can degrade the worst-user performance otherwise.
title Cell-Free MIMO with Rotatable Antennas: When Macro-Diversity Meets Antenna Directivity
topic Signal Processing
url https://arxiv.org/abs/2601.16543