Interference Analysis of Directional UAV Networks: A Stochastic Geometry Approach

We characterize the interference characteristics of directional unmanned aerial vehicle (UAV) networks based on the stochastic geometry, where each UAV is equipped with a directional antenna and is placed in three dimensional (3D) locations. In particular, the 3D location of UAVs is assumed to be uniformly distributed in a certain volume, which is modeled by Poisson point process. Given a beamwidth, we first design an ideal 3D directional antenna model with a constant gain of both main-lobe and side-lobe. Then, we investigate the aggregate interference at a typical UAV receiver from multiple UAVs. Extensive simulation results show that the aggregate interference becomes significantly decreased if the beamwidth decreases or the antenna gain of side-lobe decreases.