A reality check of Base Station Spatial Distribution in mobile networks

摘要

We consider the spatial distribution of Base Stations (BSs) in different scenarios of a European country, with the goal of finding the best theoretical distribution fitting the real data. We focus on a set of possible distributions, including: Poisson, Weibull, generalized Pareto, Lognormal and α-Stable. Our results show that the Lognormal is the best distribution in a rural scenario, while the α-Stable is the most realistic one in an urban case. This finding is confirmed for different sample areas, and for most of cellular technologies (i.e., 2G and 3G).