Secure Energy Efficiency Maximization for Multi-Device Symbiotic Radio Communication System

Symbiotic radio (SR) communication is emerging as a promising solution for enabling low-power and large-scale Internet of Things (IoT) applications. However, it faces significant challenges in ensuring secure transmission due to its low-power feature. In this letter, we propose a secure transmission strategy for the multi-device SR system. Then, a secure energy efficiency maximization problem is formulated by jointly optimizing transceiver beamforming and backscattering, subject to the IoT transmission sum rate constraint. To solve the formulated non-convex and highly coupling problem, we first apply Jensen’s inequality to approximate ergodic achievable rates in the objective function, and then a semi-definite relaxation-based iteration algorithm is designed to obtain a high-quality suboptimal solution. Simulation results verify the effectiveness of the proposed joint beamformer and backscattering coefficient design approach in the considered system.

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Publication Details

Journal
IEEE Wireless Communications Letters
Published
2025-06-02
DOI
https://doi.org/10.1109/lwc.2025.3575747
Citations
2
Primary Topic
Advanced MIMO Systems Optimization
Type
article
Field-Weighted Citation Impact
1.46

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article

Secure Energy Efficiency Maximization for Multi-Device Symbiotic Radio Communication System

Ying‐Chang Liang, Zheng Chang, Mingan Luan, Pu Du
2 citations
IEEE Wireless Communications Letters
Advanced MIMO Systems Optimization
1.46
article

Secure Energy Efficiency Maximization for Multi-Device Symbiotic Radio Communication System

Ying‐Chang Liang, Zheng Chang, Mingan Luan, Pu Du
article en
2 citations

Abstract

Symbiotic radio (SR) communication is emerging as a promising solution for enabling low-power and large-scale Internet of Things (IoT) applications. However, it faces significant challenges in ensuring secure transmission due to its low-power feature. In this letter, we propose a secure transmission strategy for the multi-device SR system. Then, a secure energy efficiency maximization problem is formulated by jointly optimizing transceiver beamforming and backscattering, subject to the IoT transmission sum rate constraint. To solve the formulated non-convex and highly coupling problem, we first apply Jensen’s inequality to approximate ergodic achievable rates in the objective function, and then a semi-definite relaxation-based iteration algorithm is designed to obtain a high-quality suboptimal solution. Simulation results verify the effectiveness of the proposed joint beamformer and backscattering coefficient design approach in the considered system.

IEEE Wireless Communications LettersVol. 14(8)
University of Electronic Science and Technology of China (CN)
National Science Foundation, National Natural Science Foundation of China
Affordable and clean energy
Openalex Percentile: Top 17%
Advanced MIMO Systems Optimization
1.46
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