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...

Descripción completa

Detalles Bibliográficos
Autor: Nieto Chaupis, Huber
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
id UUCH_2ce033b081429f77e91ae84a29598b9a
oai_identifier_str oai:repositorio.uch.edu.pe:uch/373
network_acronym_str UUCH
network_name_str UCH-Institucional
repository_id_str 4783
spelling 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
_version_ 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).