Point Process Models for Distribution of Cell Phone Antennas
Abstract
We introduce a model for the spatial distribution of cell phone antennas in a urban environment. 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.
Keywords
Cite
@article{arxiv.1807.10975,
title = {Point Process Models for Distribution of Cell Phone Antennas},
author = {Ezequiel Fattori and Pablo Groisman and Carlos Sarraute},
journal= {arXiv preprint arXiv:1807.10975},
year = {2018}
}
Comments
Published in Argentine Symposium on Big Data (AGRANDA 2016), Buenos Aires, Argentina, 5 September 2016