Joint Trajectory and Power Allocation Design for Secure Artificial Noise
aided UAV Communications
Abstract
This paper investigates an average secrecy rate (ASR) maximization
problem for an unmanned aerial vehicle (UAV) enabled wireless
communication system, wherein a UAV is employed to deliver confidential
information to a ground destination in the presence of a terrestrial
passive eavesdropper. By employing an artificial noise (AN) injection
based secure two-phase transmission protocol, we aim at jointly
optimizing the UAV’s trajectory, network transmission power, and AN
power allocation over a given time horizon to enhance the ASR
performance. Specifically, we divide the original non-convex problem
into four subproblems, and propose a successive convex approximation
based efficient iterative algorithm to solve it suboptimally with
guaranteed convergence. Simulation results demonstrate significant
security advantages of our designed scheme over other known benchmarks,
particularly for stringent flight durations.