Circle Track Antenna-Assisted Beamforming for Multiuser MIMO Communication Systems

This paper investigates beamforming in a multiuser multiple-input multiple-output (MIMO) communication system assisted by a new type of circle track antenna (CTA) that can move along a circular trajectory. With this CTA structure, we formulate a sum rate maximization problem by jointly optimizing the beamforming and rotation angles of the CTAs, and transform it into an equivalent weighted minimum mean square error (WMMSE) minimization problem for efficient solution. To solve this highly non-convex problem, we use alternating optimization strategy to decompose the WMMSE problem into two sub-problems corresponding to the beamforming and the antenna rotation optimization, respectively. Specifically, in rotation angle optimization, we perform variable substitution to transform the optimization variables into ones with a constant modulus constraint and solve the problem using the manifold optimization (MO) method. Simulation results demonstrate that the proposed algorithm significantly outperforms the benchmark schemes.

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Publication Details

Published
2025-06-17
DOI
https://doi.org/10.1109/vtc2025-spring65109.2025.11174909
Primary Topic
Advanced MIMO Systems Optimization
Type
article
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article

Circle Track Antenna-Assisted Beamforming for Multiuser MIMO Communication Systems

Yu Zhu, Hanling Wang, Qiucen Wu, Mengya Liu
Advanced MIMO Systems Optimization
article

Circle Track Antenna-Assisted Beamforming for Multiuser MIMO Communication Systems

Yu Zhu, Hanling Wang, Qiucen Wu, Mengya Liu
article en

Abstract

This paper investigates beamforming in a multiuser multiple-input multiple-output (MIMO) communication system assisted by a new type of circle track antenna (CTA) that can move along a circular trajectory. With this CTA structure, we formulate a sum rate maximization problem by jointly optimizing the beamforming and rotation angles of the CTAs, and transform it into an equivalent weighted minimum mean square error (WMMSE) minimization problem for efficient solution. To solve this highly non-convex problem, we use alternating optimization strategy to decompose the WMMSE problem into two sub-problems corresponding to the beamforming and the antenna rotation optimization, respectively. Specifically, in rotation angle optimization, we perform variable substitution to transform the optimization variables into ones with a constant modulus constraint and solve the problem using the manifold optimization (MO) method. Simulation results demonstrate that the proposed algorithm significantly outperforms the benchmark schemes.

Fudan University (CN)
Openalex Percentile: Top 73%
Advanced MIMO Systems Optimization
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Circle Track Antenna-Assisted Beamforming for Multiuser MIMO Communication Systems — Yu Zhu, Hanling Wang, et al. · (2025) | TGRS Research Map | TGRS