Point Process Models for Distribution of Cell Phone Antennas
- Autores
- Fattori, Ezequiel; Groisman, Pablo; Sarraute, Carlos
- Año de publicación
- 2017
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- 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.
Sociedad Argentina de Informática e Investigación Operativa - Materia
-
Ciencias Informáticas
Cell phone antennas models
Stochastic point processes - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- http://creativecommons.org/licenses/by/4.0/
- Repositorio
.jpg)
- Institución
- Universidad Nacional de La Plata
- OAI Identificador
- oai:sedici.unlp.edu.ar:10915/135160
Ver los metadatos del registro completo
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Point Process Models for Distribution of Cell Phone AntennasFattori, EzequielGroisman, PabloSarraute, CarlosCiencias InformáticasCell phone antennas modelsStochastic point processesWe 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.Sociedad Argentina de Informática e Investigación Operativa2017-06-04info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionArticulohttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdf54-67http://sedici.unlp.edu.ar/handle/10915/135160enginfo:eu-repo/semantics/altIdentifier/url/https://publicaciones.sadio.org.ar/index.php/EJS/article/view/22info:eu-repo/semantics/altIdentifier/issn/1514-6774info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by/4.0/Creative Commons Attribution 4.0 International (CC BY 4.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-09-10T12:36:37Zoai:sedici.unlp.edu.ar:10915/135160Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-09-10 12:36:37.316SEDICI (UNLP) - Universidad Nacional de La Platafalse |
| dc.title.none.fl_str_mv |
Point Process Models for Distribution of Cell Phone Antennas |
| title |
Point Process Models for Distribution of Cell Phone Antennas |
| spellingShingle |
Point Process Models for Distribution of Cell Phone Antennas Fattori, Ezequiel Ciencias Informáticas Cell phone antennas models Stochastic point processes |
| title_short |
Point Process Models for Distribution of Cell Phone Antennas |
| title_full |
Point Process Models for Distribution of Cell Phone Antennas |
| title_fullStr |
Point Process Models for Distribution of Cell Phone Antennas |
| title_full_unstemmed |
Point Process Models for Distribution of Cell Phone Antennas |
| title_sort |
Point Process Models for Distribution of Cell Phone Antennas |
| dc.creator.none.fl_str_mv |
Fattori, Ezequiel Groisman, Pablo Sarraute, Carlos |
| author |
Fattori, Ezequiel |
| author_facet |
Fattori, Ezequiel Groisman, Pablo Sarraute, Carlos |
| author_role |
author |
| author2 |
Groisman, Pablo Sarraute, Carlos |
| author2_role |
author author |
| dc.subject.none.fl_str_mv |
Ciencias Informáticas Cell phone antennas models Stochastic point processes |
| topic |
Ciencias Informáticas Cell phone antennas models Stochastic point processes |
| dc.description.none.fl_txt_mv |
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. Sociedad Argentina de Informática e Investigación Operativa |
| 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. |
| publishDate |
2017 |
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2017-06-04 |
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info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Articulo http://purl.org/coar/resource_type/c_6501 info:ar-repo/semantics/articulo |
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http://sedici.unlp.edu.ar/handle/10915/135160 |
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eng |
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eng |
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