6DMA-Aided Hybrid Beamforming with Joint Antenna Position and Orientation Optimization
Yichi Zhang, Yuchen Zhang, Lipeng Zhu, Sa Xiao, Wanbin Tang, Yonina C., Eldar, and Rui Zhang

TL;DR
This paper introduces a 6DMA-aided multi-user communication system with joint optimization of antenna position and orientation, significantly improving sum-rate performance through a novel fractional programming framework.
Contribution
It develops a comprehensive channel model and an optimization framework for joint antenna position, orientation, and beamforming, enhancing communication efficiency in movable antenna systems.
Findings
Substantial sum-rate improvements over benchmark schemes.
Outperforms fully-digital beamforming with position and orientation adjustments.
Highlights the importance of antenna polarization in optimization.
Abstract
This paper studies a sub-connected six-dimensional movable antenna (6DMA)-aided multi-user communication system. In this system, each sub-array is connected to a dedicated radio frequency chain and collectively moves and rotates as a unit within specific local regions. The movement and rotation capabilities of 6DMAs enhance design flexibility, facilitating the capture of spatial variations for improved communication performance. To fully characterize the effect of antenna position and orientation on wireless channels between the base station (BS) and users, we develop a field-response-based 6DMA channel model to account for the antenna radiation pattern and polarization. We then maximize the sum rate of multiple users, by jointly optimizing the digital and unit-modulus analog beamformers given the transmit power budget as well as the positions and orientations of sub-arrays within given…
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Taxonomy
TopicsAdvanced MIMO Systems Optimization · Antenna Design and Analysis · Antenna Design and Optimization
MethodsBalanced Selection
