| dc.creator | Fattori, Ezequiel | |
| dc.creator | Groisman, Pablo | |
| dc.creator | Sarraute, Carlos | |
| dc.date | 2017-06-04 | |
| dc.date | 2022-04-27T16:36:48Z | |
| dc.date.accessioned | 2023-07-15T06:24:44Z | |
| dc.date.available | 2023-07-15T06:24:44Z | |
| dc.identifier | http://sedici.unlp.edu.ar/handle/10915/135160 | |
| dc.identifier | https://publicaciones.sadio.org.ar/index.php/EJS/article/view/22 | |
| dc.identifier | issn:1514-6774 | |
| dc.identifier.uri | https://repositorioslatinoamericanos.uchile.cl/handle/2250/7476567 | |
| dc.description | 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. | |
| dc.description | Sociedad Argentina de Informática e Investigación Operativa | |
| dc.format | application/pdf | |
| dc.format | 54-67 | |
| dc.language | en | |
| dc.rights | http://creativecommons.org/licenses/by/4.0/ | |
| dc.rights | Creative Commons Attribution 4.0 International (CC BY 4.0) | |
| dc.subject | Ciencias Informáticas | |
| dc.subject | Cell phone antennas models | |
| dc.subject | Stochastic point processes | |
| dc.title | Point Process Models for Distribution of Cell Phone Antennas | |
| dc.type | Articulo | |
| dc.type | Articulo | |
