UAV-assisted NOMA secure communications: joint transmit power and trajectory optimization

EURASIP Journal on Advances in Signal Processing

Research

Yang Zhang¹  Yongjian Wang¹  Ruibo Han² 

[1] National Computer Network Emergency Response Technical Team/Coordination Center of China, 100000, Beijing, China;Yantai Research Institute of Harbin Engineering University, 264000, Yantai, China;

关键词: Unmanned aerial vehicles;    Non-orthogonal multiple access;    Physical layer security;    Power allocation;   

DOI  :  10.1186/s13634-023-01056-5

 received in 2023-07-31, accepted in 2023-09-14,  发布年份 2023

来源: Springer

【 摘 要 】

With the inherent advantages of exceptional maneuverability, flexible deployment options and cost-effectiveness, unmanned aerial vehicles (UAVs) present themselves as a viable solution for providing aerial communication services to Internet of Things devices in high-traffic or remote areas. Nevertheless, the openness of the air–ground channel poses significant security challenges to UAV-based wireless systems. In this paper, a UAV-assisted secure communication system model is established based on non-orthogonal multiple access (NOMA) from the perspective of physical layer security, aiming to conceal the transmission behavior between UAVs and legitimate users (LUs). Specifically, a mobile UAV assumes the role of an aerial base station, leveraging NOMA technique to transmit data to LUs while evading detection from mobile eavesdropper situated on the ground. To fortify the security performance of the system, a hovering UAV acts as a friendly jammer and transmits interference signals to mobile eavesdropper (referred to as Eve). The objective of this scheme is to maximize the minimum average secure rate of all LUs by meticulously optimizing the trajectory and power allocation of the mobile UAV, subject to secrecy performance constraints. The highly interdependent and non-convex nature of this optimization problem renders direct solutions infeasible. Hence, this paper designs an efficient iterative algorithm that decouples the original problem into two subproblems, enabling an alternating optimization process for the trajectory and power allocation of the mobile UAV until the convergence of the objective function is achieved. Simulation results demonstrate that the proposed algorithm effectively improves the minimum average secure rate of all LUs compared with the benchmark scheme.

【 授权许可】

CC BY   
© Springer Nature Switzerland AG 2023

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