Secrecy in Aerial Networking: a Stochastic Geometry Approach

Abstract

Stochastic geometry has been widely applied to planar networking analysis. With the emergence of unmanned aerial vehicles, it is imperative to extend the SG facility to three-dimensional space. In this paper, an effort is made to combine secrecy analysis with UAV and 3D SG. One of the new features is the relaxation of integer path-loss exponents or their ratio. This is an inherent challenging issue. With the aid of Meijer’s G-function, a closed-form expression is derived for the probability of strictly positive secrecy capacity. Several numerical results are presented and discussed.