Enhancing Secrecy Energy Efficiency in UAV-RIS Assisted Mobile IoV Networks Through DRL

To address the challenges of information leakage, low energy efficiency, and the Doppler effect in mobile Internet of Vehicles (IoV), this paper proposes an enhanced IoV cooperation framework, where privacy information is forwarded by the untrusted relay assisted by unmanned aerial vehicle (UAV) and reconfigurable intelligent surface (RIS), which can improve security and energy efficiency. To meet the requirements of green communication, we formulate a secrecy energy efficiency maximization problem by jointly optimizing the transmit power allocation, the relay’s amplification factor, the two-hop RIS phase shift matrices, and the UAV trajectory. Given the non-convex nature of this problem, we introduce an iterative algorithm based on the convex-concave procedure and Dinkelbach’s method to optimize the transmit power and amplification factor. Additionally, we conceive the majorization-minimization (MM) algorithm to optimize the two-hop RIS phase shift matrices, and a designed firefly algorithm-deep deterministic policy gradient (FA-DDPG) algorithm is proposed to obtain the UAV trajectory. Simulation results demonstrate the effectiveness of the proposed scheme in enhancing secrecy energy efficiency. Specifically, compared to the DDPG-only and FA-based schemes, the proposed scheme achieves an improvement of 33.3% and 64.2%, respectively, in secrecy energy efficiency.

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Publication Details

Journal
IEEE Transactions on Wireless Communications
Published
2025-08-11
DOI
https://doi.org/10.1109/twc.2025.3594691
Citations
10
Primary Topic
UAV Applications and Optimization
Type
article
Field-Weighted Citation Impact
49.94
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article

Enhancing Secrecy Energy Efficiency in UAV-RIS Assisted Mobile IoV Networks Through DRL

Hongbo Zhao, Fuhui Zhou, Yi Jin, Zhongxiang Wei et al.
10 citations
IEEE Transactions on Wireless Communications
UAV Applications and Optimization
49.94
article

Enhancing Secrecy Energy Efficiency in UAV-RIS Assisted Mobile IoV Networks Through DRL

Hongbo Zhao, Fuhui Zhou, Yi Jin, Zhongxiang Wei, Victor C. M. Leung, Yixin He, Jiawei Li, Dawei Wang
article en
10 citations

Abstract

To address the challenges of information leakage, low energy efficiency, and the Doppler effect in mobile Internet of Vehicles (IoV), this paper proposes an enhanced IoV cooperation framework, where privacy information is forwarded by the untrusted relay assisted by unmanned aerial vehicle (UAV) and reconfigurable intelligent surface (RIS), which can improve security and energy efficiency. To meet the requirements of green communication, we formulate a secrecy energy efficiency maximization problem by jointly optimizing the transmit power allocation, the relay’s amplification factor, the two-hop RIS phase shift matrices, and the UAV trajectory. Given the non-convex nature of this problem, we introduce an iterative algorithm based on the convex-concave procedure and Dinkelbach’s method to optimize the transmit power and amplification factor. Additionally, we conceive the majorization-minimization (MM) algorithm to optimize the two-hop RIS phase shift matrices, and a designed firefly algorithm-deep deterministic policy gradient (FA-DDPG) algorithm is proposed to obtain the UAV trajectory. Simulation results demonstrate the effectiveness of the proposed scheme in enhancing secrecy energy efficiency. Specifically, compared to the DDPG-only and FA-based schemes, the proposed scheme achieves an improvement of 33.3% and 64.2%, respectively, in secrecy energy efficiency.

IEEE Transactions on Wireless CommunicationsVol. 25
Tongji University (CN), Northwestern Polytechnical University (CN), Shenzhen University (CN), Jiaxing University (CN), Shenzhen MSU-BIT University, Beihang University (CN), Nanjing University of Aeronautics and Astronautics (CN)
Affordable and clean energy
Openalex Percentile: Top 0%
UAV Applications and Optimization
49.94
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