Measurement of the probability of call completion with the Dirac-Delta convolution
Descripción del Articulo
We propose the formalism of the Dirac-Delta functions with polynomial argument to measure the probability of call completion (PCC) which plays an importance role in the development and assessment of the telecommunications. The measurement of the PCC is also translated as a rough estimate of the Qual...
Autor: | |
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Formato: | objeto de conferencia |
Fecha de Publicación: | 2016 |
Institución: | Universidad de Ciencias y Humanidades |
Repositorio: | UCH-Institucional |
Lenguaje: | inglés |
OAI Identifier: | oai:repositorio.uch.edu.pe:uch/373 |
Enlace del recurso: | http://repositorio.uch.edu.pe/handle/uch/373 https://ieeexplore.ieee.org/document/7778436 http://dx.doi.org/10.1109/ICA-ACCA.2016.7778436 |
Nivel de acceso: | acceso embargado |
Materia: | Probability Quality of service Computational error Dirac delta Dirac delta function End users Handover Input functions Step functions Delta functions |
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Nieto Chaupis, Huber19 October 2016 through 21 October 20162019-08-25T21:32:26Z2019-08-25T21:32:26Z2016-10Nieto Chaupis, H. (Octubre, 2016). Measurement of the probability of call completion with the Dirac-Delta convolution. En International Conference on Automatica (ICA-ACCA), Chile.http://repositorio.uch.edu.pe/handle/uch/373https://ieeexplore.ieee.org/document/7778436http://dx.doi.org/10.1109/ICA-ACCA.2016.777843610.1109/ICA-ACCA.2016.7778436IEEE International Conference on Automatica, ICA-ACCA2-s2.0-85010457722We propose the formalism of the Dirac-Delta functions with polynomial argument to measure the probability of call completion (PCC) which plays an importance role in the development and assessment of the telecommunications. The measurement of the PCC is also translated as a rough estimate of the Quality-of-Service of providers of cellular communication. In order to test the model, the Dirac-Delta operator acts onto families of step-functions that would play the role of input functions. Thus, the I/O scheme is applied resulting in a nonlinear system of up to 12 parameters. In this manner, By assuming the case where the end users are performing handover under velocities less than 100 km/h, our simulations have determined a discrepancy between a known model and our approach which is of order of 7% due to the minor computational errors.Submitted by sistemas uch (sistemas@uch.edu.pe) on 2019-08-25T21:32:26Z No. of bitstreams: 1 REPOSITORIO.pdf: 29656 bytes, checksum: 04319d67592b306412ce804f495f0004 (MD5)Made available in DSpace on 2019-08-25T21:32:26Z (GMT). No. of bitstreams: 1 REPOSITORIO.pdf: 29656 bytes, checksum: 04319d67592b306412ce804f495f0004 (MD5) Previous issue date: 2016-10engInstitute of Electrical and Electronics Engineers Inc.info:eu-repo/semantics/articleIEEE International Conference on Automatica, ICA-ACCA 2016info:eu-repo/semantics/embargoedAccessRepositorio Institucional - UCHUniversidad de Ciencias y Humanidadesreponame:UCH-Institucionalinstname:Universidad de Ciencias y Humanidadesinstacron:UCHProbabilityQuality of serviceComputational errorDirac deltaDirac delta functionEnd usersHandoverInput functionsStep functionsDelta functionsMeasurement of the probability of call completion with the Dirac-Delta convolutioninfo:eu-repo/semantics/conferenceObjectuch/373oai:repositorio.uch.edu.pe:uch/3732019-12-20 18:34:00.831Repositorio UCHuch.dspace@gmail.com |
dc.title.en_PE.fl_str_mv |
Measurement of the probability of call completion with the Dirac-Delta convolution |
title |
Measurement of the probability of call completion with the Dirac-Delta convolution |
spellingShingle |
Measurement of the probability of call completion with the Dirac-Delta convolution Nieto Chaupis, Huber Probability Quality of service Computational error Dirac delta Dirac delta function End users Handover Input functions Step functions Delta functions |
title_short |
Measurement of the probability of call completion with the Dirac-Delta convolution |
title_full |
Measurement of the probability of call completion with the Dirac-Delta convolution |
title_fullStr |
Measurement of the probability of call completion with the Dirac-Delta convolution |
title_full_unstemmed |
Measurement of the probability of call completion with the Dirac-Delta convolution |
title_sort |
Measurement of the probability of call completion with the Dirac-Delta convolution |
author |
Nieto Chaupis, Huber |
author_facet |
Nieto Chaupis, Huber |
author_role |
author |
dc.contributor.author.fl_str_mv |
Nieto Chaupis, Huber |
dc.subject.en.fl_str_mv |
Probability Quality of service Computational error Dirac delta Dirac delta function End users Handover Input functions Step functions Delta functions |
topic |
Probability Quality of service Computational error Dirac delta Dirac delta function End users Handover Input functions Step functions Delta functions |
description |
We propose the formalism of the Dirac-Delta functions with polynomial argument to measure the probability of call completion (PCC) which plays an importance role in the development and assessment of the telecommunications. The measurement of the PCC is also translated as a rough estimate of the Quality-of-Service of providers of cellular communication. In order to test the model, the Dirac-Delta operator acts onto families of step-functions that would play the role of input functions. Thus, the I/O scheme is applied resulting in a nonlinear system of up to 12 parameters. In this manner, By assuming the case where the end users are performing handover under velocities less than 100 km/h, our simulations have determined a discrepancy between a known model and our approach which is of order of 7% due to the minor computational errors. |
publishDate |
2016 |
dc.date.accessioned.none.fl_str_mv |
2019-08-25T21:32:26Z |
dc.date.available.none.fl_str_mv |
2019-08-25T21:32:26Z |
dc.date.issued.fl_str_mv |
2016-10 |
dc.type.en_PE.fl_str_mv |
info:eu-repo/semantics/conferenceObject |
format |
conferenceObject |
dc.identifier.citation.en_PE.fl_str_mv |
Nieto Chaupis, H. (Octubre, 2016). Measurement of the probability of call completion with the Dirac-Delta convolution. En International Conference on Automatica (ICA-ACCA), Chile. |
dc.identifier.uri.none.fl_str_mv |
http://repositorio.uch.edu.pe/handle/uch/373 https://ieeexplore.ieee.org/document/7778436 http://dx.doi.org/10.1109/ICA-ACCA.2016.7778436 |
dc.identifier.doi.en_PE.fl_str_mv |
10.1109/ICA-ACCA.2016.7778436 |
dc.identifier.journal.en_PE.fl_str_mv |
IEEE International Conference on Automatica, ICA-ACCA |
dc.identifier.scopus.none.fl_str_mv |
2-s2.0-85010457722 |
identifier_str_mv |
Nieto Chaupis, H. (Octubre, 2016). Measurement of the probability of call completion with the Dirac-Delta convolution. En International Conference on Automatica (ICA-ACCA), Chile. 10.1109/ICA-ACCA.2016.7778436 IEEE International Conference on Automatica, ICA-ACCA 2-s2.0-85010457722 |
url |
http://repositorio.uch.edu.pe/handle/uch/373 https://ieeexplore.ieee.org/document/7778436 http://dx.doi.org/10.1109/ICA-ACCA.2016.7778436 |
dc.language.iso.none.fl_str_mv |
eng |
language |
eng |
dc.relation.en_PE.fl_str_mv |
info:eu-repo/semantics/article |
dc.relation.ispartof.none.fl_str_mv |
IEEE International Conference on Automatica, ICA-ACCA 2016 |
dc.rights.en_PE.fl_str_mv |
info:eu-repo/semantics/embargoedAccess |
eu_rights_str_mv |
embargoedAccess |
dc.coverage.temporal.none.fl_str_mv |
19 October 2016 through 21 October 2016 |
dc.publisher.en_PE.fl_str_mv |
Institute of Electrical and Electronics Engineers Inc. |
dc.source.en_PE.fl_str_mv |
Repositorio Institucional - UCH Universidad de Ciencias y Humanidades |
dc.source.none.fl_str_mv |
reponame:UCH-Institucional instname:Universidad de Ciencias y Humanidades instacron:UCH |
instname_str |
Universidad de Ciencias y Humanidades |
instacron_str |
UCH |
institution |
UCH |
reponame_str |
UCH-Institucional |
collection |
UCH-Institucional |
repository.name.fl_str_mv |
Repositorio UCH |
repository.mail.fl_str_mv |
uch.dspace@gmail.com |
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1835549007379693568 |
score |
13.889614 |
Nota importante:
La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).
La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).