Spatial Stochastic Models and Metrics for the Structure of Base Stations in Cellular Networks

Provided by: Institute of Electrical & Electronic Engineers
Topic: Mobility
Format: PDF
The spatial structure of Base Stations (BSs) in cellular networks plays a key role in evaluating the downlink performance. In this paper, different spatial stochastic models (the Poisson Point Process (PPP), the Poisson Hard-Core Process (PHCP), the Strauss Process (SP), and the perturbed triangular lattice) are used to model the structure by fitting them to the locations of BSs in real cellular networks obtained from a public database. For the first three models, the authors apply the method of maximum pseudo-likelihood to fit them to the given data. Some classical statistics in stochastic geometry cannot distinguish the three fitted models conclusively. Thus, the coverage probability is proposed as a more suitable metric.

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