Transmit Power Minimization for Double-RIS-Enabled Multi-User ISAC System in Vehicular Networks

Vehicle-to-everything (V2X) applications are usually powered by vehicular batteries and thus are power limited in general. Reconfigurable intelligent surfaces (RISs) are capable of improving the spectral efficiency and conserving energy of the wireless communications, due to the planar array architecture of which is superior beamforming gain and energy-efficient. In this paper, we study a novel design scheme where a double-RIS-enabled integrated sensing and communication (ISAC) system in vehicular network performs both a single target sensing and multi-user communications synchronously. Specifically, two transmit power budget minimization problems are formulated based on Cramér-Rao bound (CRB)-based framework under the known target location model, and radar signal-to-noise ratio (SNR)-related framework under the uncertain target location model, respectively. For the former, we propose an efficient solver based on alternative direction method of multipliers (ADMM) technique to obtain high-quality solutions for transmit beamforming and phase shifts. For the latter, an efficient algorithm based on penalty-dual-decomposition (PDD) and second order cone programming (SOCP) approaches is proposed. Simulation results demonstrate the effectiveness of two proposed algorithms and also show the superiority of our developed schemes over state-of-the-art benchmark ISAC schemes.

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Publication Details

Journal
IEEE Transactions on Intelligent Transportation Systems
Published
2025-03-26
DOI
https://doi.org/10.1109/tits.2025.3549889
Citations
4
Primary Topic
Wireless Body Area Networks
Type
article
Field-Weighted Citation Impact
2.70

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article

Transmit Power Minimization for Double-RIS-Enabled Multi-User ISAC System in Vehicular Networks

Feng Shu, Pengcheng Zhu, Yu Yao, Qi Zhang et al.
4 citations
IEEE Transactions on Intelligent Transportation Systems
Wireless Body Area Networks
2.70
article

Transmit Power Minimization for Double-RIS-Enabled Multi-User ISAC System in Vehicular Networks

Feng Shu, Pengcheng Zhu, Yu Yao, Qi Zhang, Weibin Zhang, Wenqi Xiao
article en
4 citations

Abstract

Vehicle-to-everything (V2X) applications are usually powered by vehicular batteries and thus are power limited in general. Reconfigurable intelligent surfaces (RISs) are capable of improving the spectral efficiency and conserving energy of the wireless communications, due to the planar array architecture of which is superior beamforming gain and energy-efficient. In this paper, we study a novel design scheme where a double-RIS-enabled integrated sensing and communication (ISAC) system in vehicular network performs both a single target sensing and multi-user communications synchronously. Specifically, two transmit power budget minimization problems are formulated based on Cramér-Rao bound (CRB)-based framework under the known target location model, and radar signal-to-noise ratio (SNR)-related framework under the uncertain target location model, respectively. For the former, we propose an efficient solver based on alternative direction method of multipliers (ADMM) technique to obtain high-quality solutions for transmit beamforming and phase shifts. For the latter, an efficient algorithm based on penalty-dual-decomposition (PDD) and second order cone programming (SOCP) approaches is proposed. Simulation results demonstrate the effectiveness of two proposed algorithms and also show the superiority of our developed schemes over state-of-the-art benchmark ISAC schemes.

IEEE Transactions on Intelligent Transportation SystemsVol. 26(7)
Hainan University (CN), Nanjing University of Science and Technology (CN), Southeast University (CN)
National Natural Science Foundation of China, National Key Research and Development Program of China
Affordable and clean energy
Openalex Percentile: Top 11%
Wireless Body Area Networks
2.70
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