Point Process Models for Distribution of Cell Phone Antennas

Autores
Fattori, Ezequiel; Groisman, Pablo; Sarraute, Carlos
Año de publicación
2016
Idioma
inglés
Tipo de recurso
documento de conferencia
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) 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.
Sociedad Argentina de Informática e Investigación Operativa (SADIO)
Materia
Ciencias Informáticas
cell phone antennas models
stochastic point processes
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-sa/3.0/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/56813

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spelling 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) 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.Sociedad Argentina de Informática e Investigación Operativa (SADIO)2016-09info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionObjeto de conferenciahttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdf71-84http://sedici.unlp.edu.ar/handle/10915/56813enginfo:eu-repo/semantics/altIdentifier/url/http://45jaiio.sadio.org.ar/sites/default/files/AGRANDA-02.pdfinfo:eu-repo/semantics/altIdentifier/issn/2451-7569info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-sa/3.0/Creative Commons Attribution-ShareAlike 3.0 Unported (CC BY-SA 3.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-09-29T11:06:08Zoai:sedici.unlp.edu.ar:10915/56813Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-09-29 11:06:08.526SEDICI (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) 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.
Sociedad Argentina de Informática e Investigación Operativa (SADIO)
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.
publishDate 2016
dc.date.none.fl_str_mv 2016-09
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info:eu-repo/semantics/publishedVersion
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http://purl.org/coar/resource_type/c_5794
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status_str publishedVersion
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info:eu-repo/semantics/altIdentifier/issn/2451-7569
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eu_rights_str_mv openAccess
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