Abstract
In this letter, stochastic geometry tools are utilized to compare the downlink performance of two wireless cellular network models with Unmanned Aerial Vehicles (UAVs), in terms of coverage probability and average achievable rate. The considered models are: i) a truncated octahedron-based cellular network, referred to as <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">regular</i> in the following, and ii) a binomial-Voronoi cellular network. The locations of all UAV-user equipments (UAV-UEs) are modeled as a three-dimensional (3D) Poisson Point Process (PPP) in both cellular models. Analytical expressions on coverage probability and achievable average rate are derived, and numerical results are presented. The binomial-Voronoi network is also compared via Monte-Carlo simulations to a regular network with uniformly random UAV-UE receiver selection policy.
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