Secrecy in Aerial Networking: a Stochastic Geometry Approach

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.