Stochastic geometry-based modelling of wireless communication networks : UAV-based networks

The objective of this master thesis is to evaluate the new possibilities brought by the introduction of Unmanned Aerial Vehicles (UAV) in wireless communication networks using stochastic geometry, with a particular focus on the achievable performance for UAV-based relay networks. For this purpose, a summary of the different models and performance metrics which are generally used in the literature is proposed. Based on that, the coverage probability, the average SE and the average exposure for a UAV-based relay network are analysed using stochastic geometry. All the links are either in line-of-sight or non line-of-sight, and are subject to path-loss, shadowing and small-scale fading. First, the UAVs are supposed to hover at fixed positions. Then, they are allowed to move following two different mobility schemes. The achievable performance for a given network configuration is evaluated with the developed framework.