Mostra el registre d'ítem simple
End-to-end KPI analysis in converged fixed-mobile networks
dc.contributor.author | Ruiz Ramírez, Marc |
dc.contributor.author | Richart Gutiérrez, Matías Mario |
dc.contributor.author | Castro Casales, Alberto |
dc.contributor.author | Velasco Esteban, Luis Domingo |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament d'Arquitectura de Computadors |
dc.contributor.other | Universitat Politècnica de Catalunya. Doctorat en Enginyeria Telemàtica |
dc.date.accessioned | 2020-10-22T07:24:57Z |
dc.date.available | 2020-10-22T07:24:57Z |
dc.date.issued | 2020 |
dc.identifier.citation | Ruiz, 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.isbn | 978-1-7281-8424-1 |
dc.identifier.uri | http://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.abstract | The 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.sponsorship | The 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.extent | 4 p. |
dc.language.iso | eng |
dc.publisher | Institute of Electrical and Electronics Engineers (IEEE) |
dc.subject | Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Telecomunicació òptica |
dc.subject.lcsh | Real-time data processing |
dc.subject.lcsh | Telecommunication -- Traffic -- Management |
dc.subject.other | Converged fixed-mobile networks |
dc.subject.other | Real-time KPI estimation |
dc.title | End-to-end KPI analysis in converged fixed-mobile networks |
dc.type | Conference report |
dc.subject.lemac | Temps real (Informàtica) |
dc.subject.lemac | Telecomunicació -- Tràfic -- Gestió |
dc.contributor.group | Universitat Politècnica de Catalunya. GCO - Grup de Comunicacions Òptiques |
dc.contributor.group | Universitat Politècnica de Catalunya. MAPS - Management, Pricing and Services in Next Generation Networks |
dc.identifier.doi | 10.1109/ICTON51198.2020.9203114 |
dc.description.peerreviewed | Peer Reviewed |
dc.relation.publisherversion | https://ieeexplore.ieee.org/document/9203114 |
dc.rights.access | Open Access |
local.identifier.drac | 29429408 |
dc.description.version | Postprint (author's final draft) |
dc.relation.projectid | info: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.author | Ruiz, M.; Richart, M.; Castro, A.; Velasco, L. |
local.citation.contributor | International Conference on Transparent Optical Networks |
local.citation.publicationName | 2020 22nd International Conference on Transparent Optical Networks (ICTON): July 19th-23rd, 2020: Bari, Italy |
local.citation.startingPage | 1 |
local.citation.endingPage | 4 |