dc.creator | Fattori, Ezequiel | |
dc.creator | Groisman, Pablo | |
dc.creator | Sarraute, Carlos | |
dc.date | 2016-09 | |
dc.date | 2016-11-17 | |
dc.date | 2016-11-17T14:24:55Z | |
dc.identifier | http://sedici.unlp.edu.ar/handle/10915/56813 | |
dc.identifier | http://45jaiio.sadio.org.ar/sites/default/files/AGRANDA-02.pdf | |
dc.identifier | issn:2451-7569 | |
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) hy- pothesis does not hold, we propose a model in which each point is dis- tributed 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 dis- tribution 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 (SADIO) | |
dc.format | application/pdf | |
dc.format | 71-84 | |
dc.language | en | |
dc.rights | http://creativecommons.org/licenses/by-sa/3.0/ | |
dc.rights | Creative Commons Attribution-ShareAlike 3.0 Unported (CC BY-SA 3.0) | |
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 | Objeto de conferencia | |
dc.type | Objeto de conferencia | |