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dc.contributor.authorRuiz Ramírez, Marc
dc.contributor.authorRichart Gutiérrez, Matías Mario
dc.contributor.authorCastro Casales, Alberto
dc.contributor.authorVelasco Esteban, Luis Domingo
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Arquitectura de Computadors
dc.contributor.otherUniversitat Politècnica de Catalunya. Doctorat en Enginyeria Telemàtica
dc.date.accessioned2020-10-22T07:24:57Z
dc.date.available2020-10-22T07:24:57Z
dc.date.issued2020
dc.identifier.citationRuiz, M. [et al.]. End-to-end KPI analysis in converged fixed-mobile networks. A: International Conference on Transparent Optical Networks. "2020 22nd International Conference on Transparent Optical Networks (ICTON): July 19th-23rd, 2020: Bari, Italy". Institute of Electrical and Electronics Engineers (IEEE), 2020, p. 1-4. ISBN 978-1-7281-8424-1. DOI 10.1109/ICTON51198.2020.9203114.
dc.identifier.isbn978-1-7281-8424-1
dc.identifier.urihttp://hdl.handle.net/2117/330607
dc.description©2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes,creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
dc.description.abstractThe independent operation of mobile and fixed network segments is one of the main barriers that prevents improving network performance while reducing capital expenditures coming from overprovisioning. In particular, a coordinated dynamic network operation of both network segments is essential to guarantee end-to-end Key Performance Indicators (KPI), on which new network services rely on. To achieve such dynamic operation, accurate estimation of end-to-end KPIs is needed to trigger network reconfiguration before performance degrades. In this paper, we present a methodology to achieve an accurate, scalable, and predictive estimation of end-to-end KPIs with sub-second granularity near real-time in converged fixed-mobile networks. Specifically, we extend our CURSA-SQ methodology for mobile network traffic analysis, to enable converged fixed-mobile network operation. CURSA-SQ combines simulation and machine learning fueled with real network monitoring data. Numerical results validate the accuracy, robustness, and usability of the proposed CURSA-SQ methodology for converged fixed-mobile network scenarios.
dc.description.sponsorshipThe research leading to these results has received funding from the Spanish MINECO TWINS project (TEC2017-90097-R), and from the Catalan Institution for Research and Advanced Studies (ICREA).
dc.format.extent4 p.
dc.language.isoeng
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.subjectÀrees temàtiques de la UPC::Enginyeria de la telecomunicació::Telecomunicació òptica
dc.subject.lcshReal-time data processing
dc.subject.lcshTelecommunication -- Traffic -- Management
dc.subject.otherConverged fixed-mobile networks
dc.subject.otherReal-time KPI estimation
dc.titleEnd-to-end KPI analysis in converged fixed-mobile networks
dc.typeConference report
dc.subject.lemacTemps real (Informàtica)
dc.subject.lemacTelecomunicació -- Tràfic -- Gestió
dc.contributor.groupUniversitat Politècnica de Catalunya. GCO - Grup de Comunicacions Òptiques
dc.contributor.groupUniversitat Politècnica de Catalunya. MAPS - Management, Pricing and Services in Next Generation Networks
dc.identifier.doi10.1109/ICTON51198.2020.9203114
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttps://ieeexplore.ieee.org/document/9203114
dc.rights.accessOpen Access
local.identifier.drac29429408
dc.description.versionPostprint (author's final draft)
dc.relation.projectidinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/TEC2017-90097-R/ES/COGNITIVE 5G APPLICATION-AWARE OPTICAL METRO NETWORKS INTEGRATING MONITORING, DATA ANALYTICS AND OPTIMIZATION/
local.citation.authorRuiz, M.; Richart, M.; Castro, A.; Velasco, L.
local.citation.contributorInternational Conference on Transparent Optical Networks
local.citation.publicationName2020 22nd International Conference on Transparent Optical Networks (ICTON): July 19th-23rd, 2020: Bari, Italy
local.citation.startingPage1
local.citation.endingPage4


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