Statistical adjustment of empirical propagation path loss models to the COST 2100 Cali reference scenario
Propagation models used to plan outdoor wireless networks on urban environment, tend to include a high degree of empirical component. These are derived from the difficulties of accurately estimate the influence of obstacles, buildings and terrain in the signal path loss. Therefore, the final equatio...
- Autores:
-
Navarro Cadavid, Andrés
Ardila, Carlos Andredy
- Tipo de recurso:
- http://purl.org/coar/resource_type/c_c94f
- Fecha de publicación:
- 2012
- Institución:
- Universidad ICESI
- Repositorio:
- Repositorio ICESI
- Idioma:
- eng
- OAI Identifier:
- oai:repository.icesi.edu.co:10906/81950
- Palabra clave:
- Modelos matemáticos
Ecuaciones
Análisis estadístico
Automatización y sistemas de control
Automation Command and control system
- Rights
- openAccess
- License
- https://creativecommons.org/licenses/by-nc-nd/4.0/
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dc.title.spa.fl_str_mv |
Statistical adjustment of empirical propagation path loss models to the COST 2100 Cali reference scenario |
title |
Statistical adjustment of empirical propagation path loss models to the COST 2100 Cali reference scenario |
spellingShingle |
Statistical adjustment of empirical propagation path loss models to the COST 2100 Cali reference scenario Modelos matemáticos Ecuaciones Análisis estadístico Automatización y sistemas de control Automation Command and control system |
title_short |
Statistical adjustment of empirical propagation path loss models to the COST 2100 Cali reference scenario |
title_full |
Statistical adjustment of empirical propagation path loss models to the COST 2100 Cali reference scenario |
title_fullStr |
Statistical adjustment of empirical propagation path loss models to the COST 2100 Cali reference scenario |
title_full_unstemmed |
Statistical adjustment of empirical propagation path loss models to the COST 2100 Cali reference scenario |
title_sort |
Statistical adjustment of empirical propagation path loss models to the COST 2100 Cali reference scenario |
dc.creator.fl_str_mv |
Navarro Cadavid, Andrés Ardila, Carlos Andredy |
dc.contributor.author.spa.fl_str_mv |
Navarro Cadavid, Andrés Ardila, Carlos Andredy |
dc.subject.spa.fl_str_mv |
Modelos matemáticos Ecuaciones Análisis estadístico Automatización y sistemas de control Automation Command and control system |
topic |
Modelos matemáticos Ecuaciones Análisis estadístico Automatización y sistemas de control Automation Command and control system |
description |
Propagation models used to plan outdoor wireless networks on urban environment, tend to include a high degree of empirical component. These are derived from the difficulties of accurately estimate the influence of obstacles, buildings and terrain in the signal path loss. Therefore, the final equation usually contains constants, and coefficients for the different terms, mainly obtained by statistical analysis of measurement sets, collected during drive tests on large areas of the city. Unfortunately, such results are only truly valid for the city or parts of the city on which the measurements were taken. They can also be considered appropriate for similar areas or cities at the most. If the areas are not similar enough however, a process of adjustment is necessary, leading to the finding of new constants and coefficients. The purpose of this paper is to discuss some of the findings during the process of statistically adjust the Okumura-Hata and Walfisch-Bertoni models to the Cali scenario, using measurements. |
publishDate |
2012 |
dc.date.issued.none.fl_str_mv |
2012-11-12 |
dc.date.accessioned.none.fl_str_mv |
2017-08-18T02:50:15Z |
dc.date.available.none.fl_str_mv |
2017-08-18T02:50:15Z |
dc.type.spa.fl_str_mv |
info:eu-repo/semantics/conferenceObject |
dc.type.coar.none.fl_str_mv |
http://purl.org/coar/resource_type/c_c94f |
dc.type.local.spa.fl_str_mv |
Documento de conferencia |
dc.type.version.spa.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.coarversion.none.fl_str_mv |
http://purl.org/coar/version/c_970fb48d4fbd8a85 |
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http://purl.org/coar/resource_type/c_c94f |
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publishedVersion |
dc.identifier.isbn.none.fl_str_mv |
9781467304627 |
dc.identifier.uri.none.fl_str_mv |
http://hdl.handle.net/10906/81950 |
dc.identifier.doi.none.fl_str_mv |
http://dx.doi.org/10.1109/APS.2012.6348047 |
dc.identifier.instname.none.fl_str_mv |
instname: Universidad Icesi |
dc.identifier.reponame.none.fl_str_mv |
reponame: Biblioteca Digital |
dc.identifier.repourl.none.fl_str_mv |
repourl: https://repository.icesi.edu.co/ |
identifier_str_mv |
9781467304627 instname: Universidad Icesi reponame: Biblioteca Digital repourl: https://repository.icesi.edu.co/ |
url |
http://hdl.handle.net/10906/81950 http://dx.doi.org/10.1109/APS.2012.6348047 |
dc.language.iso.spa.fl_str_mv |
eng |
language |
eng |
dc.relation.ispartof.none.fl_str_mv |
Antennas and Propagation Society International Symposium (APSURSI), 2012 IEEE |
dc.rights.uri.none.fl_str_mv |
https://creativecommons.org/licenses/by-nc-nd/4.0/ |
dc.rights.accessrights.spa.fl_str_mv |
info:eu-repo/semantics/openAccess |
dc.rights.license.none.fl_str_mv |
Atribuci�n-NoComercial-SinDerivadas 4.0 Internacional (CC BY-NC-ND 4.0) |
dc.rights.coar.none.fl_str_mv |
http://purl.org/coar/access_right/c_abf2 |
rights_invalid_str_mv |
https://creativecommons.org/licenses/by-nc-nd/4.0/ Atribuci�n-NoComercial-SinDerivadas 4.0 Internacional (CC BY-NC-ND 4.0) http://purl.org/coar/access_right/c_abf2 |
eu_rights_str_mv |
openAccess |
dc.format.extent.spa.fl_str_mv |
7 páginas |
dc.format.medium.spa.fl_str_mv |
Digital |
dc.coverage.spatial.none.fl_str_mv |
Chicago de Lat: 41 51 00 N degrees minutes Lat: 41.8500 decimal degrees Long: 087 39 00 W degrees minutes Long: -87.6500 decimal degrees |
dc.publisher.spa.fl_str_mv |
Antennas and Propagation Society International Symposium (APSURSI), 2012 IEEE |
dc.publisher.faculty.spa.fl_str_mv |
Facultad de Ingeniería |
dc.publisher.program.spa.fl_str_mv |
Ingeniería Telemática |
dc.publisher.department.spa.fl_str_mv |
Departamento Tecnologías de Información y Comunicaciones |
dc.publisher.place.spa.fl_str_mv |
Chicago |
institution |
Universidad ICESI |
bitstream.url.fl_str_mv |
http://repository.icesi.edu.co/biblioteca_digital/bitstream/10906/81950/3/documento.html http://repository.icesi.edu.co/biblioteca_digital/bitstream/10906/81950/2/license.txt |
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Biblioteca Digital - Universidad icesi |
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spelling |
Navarro Cadavid, AndrésArdila, Carlos Andredyanavarro@icesi.edu.coChicago de Lat: 41 51 00 N degrees minutes Lat: 41.8500 decimal degrees Long: 087 39 00 W degrees minutes Long: -87.6500 decimal degrees2017-08-18T02:50:15Z2017-08-18T02:50:15Z2012-11-129781467304627http://hdl.handle.net/10906/81950http://dx.doi.org/10.1109/APS.2012.6348047instname: Universidad Icesireponame: Biblioteca Digitalrepourl: https://repository.icesi.edu.co/Propagation models used to plan outdoor wireless networks on urban environment, tend to include a high degree of empirical component. These are derived from the difficulties of accurately estimate the influence of obstacles, buildings and terrain in the signal path loss. Therefore, the final equation usually contains constants, and coefficients for the different terms, mainly obtained by statistical analysis of measurement sets, collected during drive tests on large areas of the city. Unfortunately, such results are only truly valid for the city or parts of the city on which the measurements were taken. They can also be considered appropriate for similar areas or cities at the most. If the areas are not similar enough however, a process of adjustment is necessary, leading to the finding of new constants and coefficients. The purpose of this paper is to discuss some of the findings during the process of statistically adjust the Okumura-Hata and Walfisch-Bertoni models to the Cali scenario, using measurements.7 páginasDigitalengAntennas and Propagation Society International Symposium (APSURSI), 2012 IEEEFacultad de IngenieríaIngeniería TelemáticaDepartamento Tecnologías de Información y ComunicacionesChicagoAntennas and Propagation Society International Symposium (APSURSI), 2012 IEEEEL AUTOR, expresa que la obra objeto de la presente autorización es original y la elaboró sin quebrantar ni suplantar los derechos de autor de terceros, y de tal forma, la obra es de su exclusiva autoría y tiene la titularidad sobre éste. PARÁGRAFO: en caso de queja o acción por parte de un tercero referente a los derechos de autor sobre el artículo, folleto o libro en cuestión, EL AUTOR, asumirá la responsabilidad total, y saldrá en defensa de los derechos aquí autorizados; para todos los efectos, la Universidad Icesi actúa como un tercero de buena fe. Esta autorización, permite a la Universidad Icesi, de forma indefinida, para que en los términos establecidos en la Ley 23 de 1982, la Ley 44 de 1993, leyes y jurisprudencia vigente al respecto, haga publicación de este con fines educativos Todo persona que consulte ya sea la biblioteca o en medio electrónico podrá copiar apartes del texto citando siempre la fuentes, es decir el título del trabajo y el autor.https://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessAtribuci�n-NoComercial-SinDerivadas 4.0 Internacional (CC BY-NC-ND 4.0)http://purl.org/coar/access_right/c_abf2Modelos matemáticosEcuacionesAnálisis estadísticoAutomatización y sistemas de controlAutomation Command and control systemStatistical adjustment of empirical propagation path loss models to the COST 2100 Cali reference scenarioinfo:eu-repo/semantics/conferenceObjecthttp://purl.org/coar/resource_type/c_c94fDocumento de conferenciainfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/version/c_970fb48d4fbd8a85Comunidad Universidad Icesi - Investigadores1118ORIGINALdocumento.htmldocumento.htmltext/html291http://repository.icesi.edu.co/biblioteca_digital/bitstream/10906/81950/3/documento.html3dbd9a7bf430031c5cb75c272697295eMD53LICENSElicense.txtlicense.txttext/plain1748http://repository.icesi.edu.co/biblioteca_digital/bitstream/10906/81950/2/license.txt8a4605be74aa9ea9d79846c1fba20a33MD5210906/81950oai:repository.icesi.edu.co:10906/819502018-10-29 14:20:32.761Biblioteca Digital - Universidad icesicdcriollo@icesi.edu.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 |