Robust Beamforming Design and Antenna Selection for Dynamic HRIS-Aided MISO Systems

In this paper, we propose a dynamic hybrid active-passive reconfigurable intelligent surface (HRIS) to enhance multiple-input-single-output (MISO) communications, leveraging the property of dynamically placing active elements. Specifically, considering the impact of hardware impairments (HWIs), we investigate channel-aware configurations of the receive antennas at the base station (BS) and the active/passive elements at the HRIS to improve transmission reliability. To this end, we propose a penalty-based exact block coordinate descent (PEBCD) algorithm to address the mean-square-error (MSE) minimization problem for the dynamic HRIS-aided MISO system by jointly optimizing the BS receive antenna selection matrix, the reflection phase coefficients, the reflection amplitude matrix, and the mode selection matrix of the HRIS. Numerical simulations demonstrate the significant superiority of our proposed scheme over conventional benchmark schemes.

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Publication Details

Journal
IEEE Transactions on Vehicular Technology
Published
2025-05-01
DOI
https://doi.org/10.1109/tvt.2025.3566136
Primary Topic
Antenna Design and Optimization
Type
article
Field-Weighted Citation Impact
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article

Robust Beamforming Design and Antenna Selection for Dynamic HRIS-Aided MISO Systems

Shiqi Gong, Binggui Zhou, Shaodan Ma, Guanghua Yang et al.
IEEE Transactions on Vehicular Technology
Antenna Design and Optimization
article

Robust Beamforming Design and Antenna Selection for Dynamic HRIS-Aided MISO Systems

Shiqi Gong, Binggui Zhou, Shaodan Ma, Guanghua Yang, Jintao Wang, Chengzhi Ma
article en

Abstract

In this paper, we propose a dynamic hybrid active-passive reconfigurable intelligent surface (HRIS) to enhance multiple-input-single-output (MISO) communications, leveraging the property of dynamically placing active elements. Specifically, considering the impact of hardware impairments (HWIs), we investigate channel-aware configurations of the receive antennas at the base station (BS) and the active/passive elements at the HRIS to improve transmission reliability. To this end, we propose a penalty-based exact block coordinate descent (PEBCD) algorithm to address the mean-square-error (MSE) minimization problem for the dynamic HRIS-aided MISO system by jointly optimizing the BS receive antenna selection matrix, the reflection phase coefficients, the reflection amplitude matrix, and the mode selection matrix of the HRIS. Numerical simulations demonstrate the significant superiority of our proposed scheme over conventional benchmark schemes.

IEEE Transactions on Vehicular TechnologyVol. 74(9)
Beijing Institute of Technology (CN), Jinan University (CN), University of Macau (MO), City University of Macau (MO)
Affordable and clean energy
Openalex Percentile: Top 88%
Antenna Design and Optimization
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