Robust Joint Optimization for Secure Transmission in RIS-Assisted UAV Systems with Attitude Jitter

Xiaojuan Bai; Xiangtian Liu; Ao Gao; Xiaoyong Yang

doi:10.6919/ICJE.202604_12(4).0015

Authors

Xiaojuan Bai
Xiangtian Liu
Ao Gao
Xiaoyong Yang

DOI:

https://doi.org/10.6919/ICJE.202604_12(4).0015

Keywords:

Unmanned Aerial Vehicle; Reconfigurable Intelligent Surface; Physical Layer Security; Attitude Jitter.

Abstract

This paper investigates secure downlink transmission in RIS-assisted mmWave UAV communication systems under UAV attitude jitter. The attitude jitter is modeled as small-angle rotational perturbations, which lead to array-response mismatch and CSI uncertainty. To address the resulting coupled optimization problem, a dual-agent deep reinforcement learning framework is proposed to jointly optimize UAV trajectory, active beamforming, and RIS phase shifts. Simulation results show that the proposed method improves the average secrecy rate under different jitter conditions and achieves better robustness and convergence performance than benchmark methods. These results demonstrate the effectiveness of the proposed approach for robust secure transmission in RIS–UAV systems.

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References

[1] Geraci G, Garcia-Rodriguez A, Azari M M, et al. What will the future of UAV cellular communications be? A flight from 5G to 6G[J]. IEEEcommunications surveys tutorials, 2022, 24(3): 1304-1335.

[2] Sun X, Ng D W K, Ding Z, et al. Physical layer security in UAV systems: Challenges and opportunities[J]. IEEE Wireless Communications, 2019, 26(5): 40-47.

[3] Jiang T, Yu W. Interference nulling using reconfigurable intelligent surface[J]. IEEE Journal on Selected Areas in Communications, 2022, 40(5): 1392-1406.

[4] Khan W U, Lagunas E, Ali Z, et al. Opportunities for physical layer security in UAV communication enhanced with intelligent reflective surfaces[J]. IEEE Wireless Communications, 2022, 29(6): 22-28.

[5] Zhang S, Hao W, Sun G, et al. Joint beamforming optimization for active STAR-RIS-assisted ISAC systems[J]. IEEE Transactions on Wireless Communications, 2024, 23(11): 15888-15902.

[6] Wen Y, Chen G, Fang S, et al. RIS-assisted UAV secure communications with artificial noise-aware trajectory design against multiple colluding curious users[J]. IEEE Transactions on Information Forensics and Security,2024, 19: 3064-3076.

[7] Sarhan A Y, Abdullah O A, Al-Hraishawi H, et al. Reinforcement learning-driven secrecy energy efficiency maximization in RIS-enabled communication systems[J]. IEEE Access, 2025.

[8] Bansal A, Agrawal N, Singh K, et al. RIS selection scheme for UAVbased multi-RIS-aided multiuser downlink network with imperfect andoutdated CSI[J]. IEEE Transactions on Communications, 2023, 71(8):4650-4664.

[9] Saeed A K, Salim M M, Nasir A A, et al. Throughput Optimization in UAV-Mounted RIS under Jittering and Imperfect CSI via DRL[J]. arXiv preprint arXiv:2512.24773, 2025.

[10] Guo X, Chen Y, Wang Y. Learning-based robust and secure transmission for reconfigurable intelligent surface aided millimeter wave UAV communications[J]. IEEE Wireless Communications Letters, 2021, 10(8): 1795-1799.

[11] Brittain M, Bertram J, Yang X, et al. Prioritized sequence experiencereplay[J]. arXiv preprint arXiv:1905.12726, 2019.