Low Complexity Channel Tracking for Hybrid Beamforming Systems

Mitigating the complexity associated with capturing swiftly changing channels in high-mobility systems is challenging, primarily due to the considerable relative speed between transceivers. In this paper, a channel tracking method with hybrid beamforming is proposed to alleviate this. First, a hybrid combiner is designed as a unitary matrix to achieve the real-valued transformation. Then, a sparse signal recovery problem containing prior information is formulated, and a homotopy-based channel tracking algorithm with low complexity is developed. Simulation results indicate that the proposed algorithm is of lower computational complexity.

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Publication Details

Journal
IEEE Transactions on Vehicular Technology
Published
2024-10-08
DOI
https://doi.org/10.1109/tvt.2024.3476385
Primary Topic
Advanced Wireless Communication Techniques
Type
article
Field-Weighted Citation Impact
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article

Low Complexity Channel Tracking for Hybrid Beamforming Systems

Wan Choi, Chengzhao Shan, Yipai Yan, Di Zhang et al.
IEEE Transactions on Vehicular Technology
Advanced Wireless Communication Techniques
article

Low Complexity Channel Tracking for Hybrid Beamforming Systems

Wan Choi, Chengzhao Shan, Yipai Yan, Di Zhang, Honglin Zhao
article en

Abstract

Mitigating the complexity associated with capturing swiftly changing channels in high-mobility systems is challenging, primarily due to the considerable relative speed between transceivers. In this paper, a channel tracking method with hybrid beamforming is proposed to alleviate this. First, a hybrid combiner is designed as a unitary matrix to achieve the real-valued transformation. Then, a sparse signal recovery problem containing prior information is formulated, and a homotopy-based channel tracking algorithm with low complexity is developed. Simulation results indicate that the proposed algorithm is of lower computational complexity.

IEEE Transactions on Vehicular TechnologyVol. 74(2)
Seoul National University (KR), Harbin Institute of Technology (CN), Zhengzhou University (CN)
Affordable and clean energy
Openalex Percentile: Top 85%
Advanced Wireless Communication Techniques
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Low Complexity Channel Tracking for Hybrid Beamforming Systems — Wan Choi, Chengzhao Shan, et al. · IEEE Transactions on Vehicular Technology (2024) | TGRS Research Map | TGRS