Point Process Models for Distribution of Cell Phone Antennas

Authors

  • Ezequiel Fattori Universidad de Buenos Aires, Argentina
  • Pablo Groisman Universidad de Buenos Aires, Argentina
  • Carlos Sarraute Grandata Labs, Estados Unidos

Keywords:

Cell phone antennas models, Stochastic point processes

Abstract

We introduce a model for the spatial distribution of cell phone antennas in the city of Buenos Aires (CABA). After showing that the complete spatial randomness (homogeneous Poisson distribution) hypothesis does not hold, we propose a model in which each point is distributed according to a bivariate Gaussian variable with mean given by the barycenter of its neighbors in the Delaunay triangulation. We show that this model is suitable, and can be used to generate a synthetic distribution of antennas. The generated distribution contains no sensitive or proprietary information, and can thus be freely shared with research groups, fostering further research on the subject.

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Published

2017-09-19

Issue

Vol. 16 (2017): Special Issue dedicated to JAIIO 2016 (Jornadas Argentinas de Informática)

Section

Papers

License

Copyright (c) 2017 Ezequiel Fattori, Pablo Groisman, Carlos Sarraute

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How to Cite

Fattori, E., Groisman, P., & Sarraute, C. (2017). Point Process Models for Distribution of Cell Phone Antennas. SADIO Electronic Journal of Informatics and Operations Research, 16, 54-67. https://revistas.unlp.edu.ar/ejs/article/view/17586