Improving Physical-Layer Security in ISAC-UAV System: Beamforming and Trajectory Optimization

TL;DR

This paper proposes a joint UAV trajectory and beamforming optimization method to enhance physical-layer security in an integrated sensing and communication system, ensuring accurate sensing and improved secrecy rates.

Contribution

It introduces an efficient SCA-based algorithm for non-convex joint optimization of UAV trajectory and beamforming in ISAC-UAV systems, a novel approach in this context.

Findings

The proposed algorithm improves the communication secrecy rate.

It ensures accurate sensing of targets.

Numerical results validate the effectiveness of the method.

Abstract

This paper investigates a novel unmanned aerial vehicle (UAV) secure communication system with integrated sensing and communications. We consider wireless security enhancement for a multiple-antenna UAV transmitting ISAC waveforms to communicate with multiple ground Internet-of-Thing devices and detect the surrounding environment. Specifically, we aim to maximize the average communication secrecy rate by optimizing the UAV trajectory and beamforming vectors. Given that the UAV trajectory optimization problem is non-convex due to multi-variable coupling develop an efficient algorithm based on the successive convex approximation (SCA) algorithm. Numerical results show that our proposed algorithm can ensure the accuracy of sensing targets and improve the communication secrecy rate.