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Robust 3D Beamforming for Secure UAV Communications by DAE

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Abstract

Unmanned aerial vehicles (UAVs) are considered to play vital roles in the Sixth Generation (6G) networks and beyond. However, the confidentiality of UAV communication is sensitive to security threats owing to the broadcast nature and principal line-of-sight channel conditions. This paper proposes a three-dimensional (3D) robust beamforming method for UAV systems in terms of physical layer security in order to improve secrecy performance. In particular, attempting to maximize the average secrecy rate (ASR) of the considered system, a precisely designed unsupervised artificial neural network based on Denoising AutoEncoder (DAE) is used to optimize the beamformer for confidential signal with the simultaneous existence of artificial noise (AN). Simulation results show that the proposed approach can achieve higher average secrecy and more focused beams than existing previous methods in the same scenarios.

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Acknowledgements

This research was funded by Vingroup JSC and supported by the Postdoctoral Scholarship Programme of Vingroup Innovation Foundation (VINIF), Institute of Big Data, code VINIF.2022.STS.08. We would like to thank the anonymous reviewers for the valuable feedback provided throughout the revision process.

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Author notes

  1. Vien Nguyen-Duy-Nhat, Mai T. P. Le, Hung Nguyen-Le, Chien Tang-Tan, Tuan Tang-Anh and Nghia Nguyen-Xuan contributed equally to this work.

Authors and Affiliations

  1. MobiFone Testing and Maintenance Center, MobiFone Corporation, 115 Tran Duy Hung, Hanoi, 100000, Vietnam

    Cuong Pham-Quoc & Nghia Nguyen-Xuan

  2. Faculty of Electronics and Telecommunication Engineering, University of Science and Technology, The University of Danang, 54 Nguyen Luong Bang, Danang, 50000, Vietnam

    Cuong Pham-Quoc, Vien Nguyen-Duy-Nhat, Mai T. P. Le & Tuan Tang-Anh

  3. Department of Science, Technology and Environment, The University of Danang, 41 Le Duan, Danang, 50000, Vietnam

    Hung Nguyen-Le

  4. Faculty of Computer and Electronics Engineering, Vietnam – Korea University of Information and Communication Technology, The University of Danang, Danang, Vietnam

    Chien Tang-Tan

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  1. Cuong Pham-Quoc
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  2. Vien Nguyen-Duy-Nhat
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Correspondence to Cuong Pham-Quoc.

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Pham-Quoc, C., Nguyen-Duy-Nhat, V., Le, M.T.P. et al. Robust 3D Beamforming for Secure UAV Communications by DAE. Mobile Netw Appl 28, 1197–1205 (2023). https://doi.org/10.1007/s11036-023-02130-w

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