Herramienta de diagnosis para redes móviles basada en puntos sigmas de correlaciones

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dc.centroE.T.S.I. Telecomunicaciónes_ES
dc.contributor.authorLuo Chen, Hao Qiang
dc.contributor.authorÁlvarez-Merino, Carlos Simón
dc.contributor.authorBaena-González, José Carlos
dc.contributor.authorKhatib, Emil Jatib
dc.contributor.authorBarco-Moreno, Raquel
dc.date.accessioned2021-10-01T12:30:20Z
dc.date.available2021-10-01T12:30:20Z
dc.date.issued2021-09
dc.departamentoIngeniería de Comunicaciones
dc.description.abstractMobile network users are demanding with regard to the quality of the services, forcing the operators to solve the network degradations in the shortest time possible. For this purpose, a method for root cause diagnosis of degradations is proposed. It is based on different correlations (among CMs and a KPI) and the weighted average of sigma points to provide a ranking of possible causal candidates. Finally, this method is tested on metrics obtained from a commercial equipment.es_ES
dc.description.sponsorshipUniversidad de Málaga. Campus de Excelencia Internacional Andalucía Tech.es_ES
dc.identifier.urihttps://hdl.handle.net/10630/22931
dc.language.isospaes_ES
dc.relation.eventdate20-24 de septiembre de 2021es_ES
dc.relation.eventplaceVigo, Españaes_ES
dc.relation.eventtitleXXXVI Simposium Nacional de la Unión Científica Internacional de Radioes_ES
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.accessRightsopen accesses_ES
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectSistemas de comunicaciones móviles - Estudios, ensayos, conferencias, etc.es_ES
dc.subject.otherRedes móvileses_ES
dc.subject.otherCorrelacioneses_ES
dc.subject.otherPuntos sigmaes_ES
dc.subject.otherKPIes_ES
dc.subject.otherCMes_ES
dc.titleHerramienta de diagnosis para redes móviles basada en puntos sigmas de correlacioneses_ES
dc.typeconference outputes_ES
dspace.entity.typePublication
relation.isAuthorOfPublicationc933e578-ad80-410f-88c2-f0dbdaa6cf72
relation.isAuthorOfPublication.latestForDiscoveryc933e578-ad80-410f-88c2-f0dbdaa6cf72

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