Secrecy-aware UAV position-aided jamming for practical eavesdropper localization models

Abstract In this paper, a system model is proposed which consists of an unmanned aerial vehicle (UAV) having the friendly-jamming utility to maximize the secrecy rate of a point-to-point link transmission on the ground. In most of the existing works either eavesdropper's location is considered to be known to the jammer or it is assumed to be estimated by the jammer. However, in practical scenarios, eavesdropper location is unknown and intractable. Therefore in contrast with existing works, three different random deployment processes are used to model the randomness of the eavesdropper location. Furthermore, an optimization problem is proposed to determine the optimal UAV location to maximize the secrecy rate of legitimate receiver for all three random deployment processes of the eavesdropper. Analytical approximation for high signal-to-interference-plus-noise (SINR) ratio condition is also considered and solved for the optimal solution. Using simulation and numerical results, the proposed solutions are compared to a benchmark scheme, and it is demonstrated that particular solutions excel instead of others.