Deep reinforcement learning-based UAV secure transmission with integrated sensing and communication

Runze Dong; Buhong Wang; Guirong Chen; Kunrui Cao; Tiaohao Cheng; Danyu Diao

doi:10.1117/12.3039324

4 September 2024 Deep reinforcement learning-based UAV secure transmission with integrated sensing and communication

Runze Dong, Buhong Wang, Guirong Chen, Kunrui Cao, Tiaohao Cheng, Danyu Diao

Proceedings Volume 13259, International Conference on Automation Control, Algorithm, and Intelligent Bionics (ACAIB 2024); 1325924 (2024) https://doi.org/10.1117/12.3039324
Event: Fourth International Conference on Automation Control, Algorithm, and Intelligent Bionics (ICAIB 2024), 2024, Yinchuan, China

Abstract

Due to its capacities in improving spectrum efficiency, reducing hardware cost, and accelerating signal processing, the integrated sensing and communication (ISAC) has been widely discussed and investigated in recent years. In this paper the secure downlink transmission of a unmanned aerial vehicle (UAV) communication network is considered, in which the terrestrial base station performs ISAC to sensing multiple targets. Aiming at maximizing the average secrecy rate (ASR) while ensuring the sensing performance is higher that a specific threshold, the trajectory of the legitimate UAV and the transmit beamforming of the base station are jointly optimized. Since the considered ASR maximization problem is non-convex, we resort to the state-of-the-art deep reinforcement learning (DRL) based algorithms. Firstly the optimization problem is transformed into a Markov decision process (MDP), then the UAV trajectory as well as the base station beamforming are jointly optimized. Simulation results demonstrate the effectiveness of the proposed algorithm and validate the superiority compared with benchmark methods.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Runze Dong, Buhong Wang, Guirong Chen, Kunrui Cao, Tiaohao Cheng, and Danyu Diao "Deep reinforcement learning-based UAV secure transmission with integrated sensing and communication", Proc. SPIE 13259, International Conference on Automation Control, Algorithm, and Intelligent Bionics (ACAIB 2024), 1325924 (4 September 2024); https://doi.org/10.1117/12.3039324

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