Energy-Efficient Resource Allocation for Secure UAV Communication Systems

TL;DR

This paper proposes an iterative optimization algorithm for energy-efficient and secure UAV communication systems, jointly optimizing trajectory, power, and scheduling to enhance energy efficiency while ensuring security constraints.

Contribution

It introduces a novel joint optimization framework for resource allocation and trajectory design in secure UAV communications, addressing energy efficiency and security simultaneously.

Findings

Significant improvement in energy efficiency compared to simple schemes.

Effective trajectory and resource allocation under security constraints.

Algorithm achieves near-optimal solutions with iterative approach.

Abstract

In this paper, we study the resource allocation and trajectory design for energy-efficient secure unmanned aerial vehicle (UAV) communication systems where a UAV base station serves multiple legitimate ground users in the existence of a potential eavesdropper. We aim to maximize the energy efficiency of the UAV by jointly optimizing its transmit power, user scheduling, trajectory, and velocity. The design is formulated as a non-convex optimization problem taking into account the maximum tolerable signal-to-noise ratio (SNR) leakage, the minimum data rate requirement of each user, and the location uncertainty of the eavesdropper. An iterative algorithm is proposed to obtain an efficient suboptimal solution. Simulation results demonstrate that the proposed algorithm can achieve a significant improvement of the system energy efficiency while satisfying communication security constraint, compared to some simple scheme adopting straight flight trajectory with a constant speed.