Cell-Free MIMO with Rotatable Antennas: When Macro-Diversity Meets Antenna Directivity
Xingxiang Peng, Qingqing Wu, Ziyuan Zheng, Yanze Zhu, Wen Chen, Penghui Huang, Ying Gao, and Honghao Wang

TL;DR
This paper introduces rotatable antennas in cell-free MIMO networks to improve macro-diversity and fairness, optimizing both beamforming and antenna orientation for better worst-user rates.
Contribution
It develops an alternating-optimization algorithm and a two-stage scheme to jointly optimize beamforming and antenna orientations, enhancing network performance.
Findings
Orientation-aware designs significantly improve worst-user rates.
Larger antenna directivity boosts fairness with proper orientation.
The proposed methods outperform conventional beamforming benchmarks.
Abstract
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…
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