On the Empirical Distribution of Coverage Regions in Strauss Cellular Networks

Strauss point process is one of the most important repulsive models for cellular networks. However, the analytical intractability impose great restriction on its practical applications. In this paper, based on the contributed R package spatstat, we focus on the distribution of the coverage regions in Strauss cellular networks, and compare the empirical distribution with various existing distributions. Among all the examined distributions, the gamma distribution has the best fit to the empirical data. We also propose a Weibull-like function model which is analogous to the form of a Poisson cell size-distribution. Simulation results show that the Weibull-like function has an even better goodness-of-fit to the empirical data.