Securing UAV Communications Via Trajectory Optimization

Abstract

Unmanned aerial vehicle (UAV) communications has drawn significant interest recently due to many advantages such as low cost, high mobility, and on-demand deployment. This paper addresses the issue of physical-layer security in a UAV communication system, where a UAV sends confidential information to a legitimate receiver in the presence of a potential eavesdropper which are both on the ground. We aim to maximize the secrecy rate of the system by jointly optimizing the UAV's trajectory and transmit power over a finite horizon. In contrast to the existing literature on wireless security with static nodes, we exploit the mobility of the UAV in this paper to enhance the secrecy rate via a new trajectory design. Although the formulated problem is non-convex and challenging to solve, we propose an iterative algorithm to solve the problem efficiently, based on the block coordinate descent and successive convex optimization methods. Specifically, the UAV's transmit power and trajectory are each optimized with the other fixed in an alternating manner until convergence. Numerical results show that the proposed algorithm significantly improves the secrecy rate of the UAV communication system, as compared to benchmark schemes without transmit power control or trajectory optimization.

Accepted by IEEE GLOBECOM 2017

References in corpus (5)

• Wireless Communications with Unmanned Aerial Vehicles: Opportunities and Challenges
• Placement Optimization of UAV-Mounted Mobile Base Stations
• Improving Physical Layer Secrecy Using Full-Duplex Jamming Receivers
• Cyclical Multiple Access in UAV-Aided Communications: A Throughput-Delay Tradeoff
• Joint Trajectory and Communication Design for UAV-Enabled Multiple Access

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• Secrecy Energy Efficiency Maximization for UAV-Enabled Mobile Relaying
• Robust Trajectory and Transmit Power Design for Secure UAV Communications
• Resource Allocation for Solar Powered UAV Communication Systems
• Optimal 3D-Trajectory Design and Resource Allocation for Solar-Powered UAV Communication Systems
• Optimal Power Allocation for Secure Directional Modulation Networks with a Full-duplex UAV User