3D Deployment of UAVs for Communications under Multiple Eavesdroppers

This paper proposes to use UAVs with adjustable beamforming as mobile base stations and studies to deploy them in a 3D manner to ensure secure communications in the presence of eavesdroppers. We aim to deploy the UAVs with appropriate beamforming in the optimal positions to maximize the signal strength of normal users while jamming the eavesdroppers by minimizing their received signal strength. Specifically, the objective is to maximize the total number of successfully served APs and jammed eavesdroppers. To achieve the goals, we propose a genetic algorithm (GA) by adjusting the $\mathbf{3D}$ positions and beamwidths of UAV s. Simulation results show that the signal-to-interference-noise-ratio (SINR) threshold significantly affects the overall performance, and the proposed GA outperforms the existing differential evolution algorithm (DE).