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dc.contributor.authorChinchilla Romero, Lorena 
dc.contributor.authorPrados Garzón, Jonathan 
dc.contributor.authorAmeigeiras Gutiérrez, Pablo José 
dc.contributor.authorMuñoz Luengo, Pablo 
dc.contributor.authorLópez Soler, Juan Manuel 
dc.date.accessioned2022-02-09T09:29:05Z
dc.date.available2022-02-09T09:29:05Z
dc.date.issued2021-12-29
dc.identifier.citationChinchilla-Romero, L... [et al.]. 5G Infrastructure Network Slicing: E2E Mean Delay Model and Effectiveness Assessment to Reduce Downtimes in Industry 4.0. Sensors 2022, 22, 229. [https://doi.org/10.3390/s22010229]es_ES
dc.identifier.urihttp://hdl.handle.net/10481/72735
dc.descriptionThis work has been partially funded by the H2020 project 5G-CLARITY (Grant No. 871428) and the Spanish national project TRUE-5G (PID2019-108713RB-C53).es_ES
dc.description.abstractFifth Generation (5G) is expected to meet stringent performance network requisites of the Industry 4.0. Moreover, its built-in network slicing capabilities allow for the support of the traffic heterogeneity in Industry 4.0 over the same physical network infrastructure. However, 5G network slicing capabilities might not be enough in terms of degree of isolation for many private 5G networks use cases, such as multi-tenancy in Industry 4.0. In this vein, infrastructure network slicing, which refers to the use of dedicated and well isolated resources for each network slice at every network domain, fits the necessities of those use cases. In this article, we evaluate the effectiveness of infrastructure slicing to provide isolation among production lines (PLs) in an industrial private 5G network. To that end, we develop a queuing theory-based model to estimate the end-to-end (E2E) mean packet delay of the infrastructure slices. Then, we use this model to compare the E2E mean delay for two configurations, i.e., dedicated infrastructure slices with segregated resources for each PL against the use of a single shared infrastructure slice to serve the performance-sensitive traffic from PLs. Also we evaluate the use of Time-Sensitive Networking (TSN) against bare Ethernet to provide layer 2 connectivity among the 5G system components. We use a complete and realistic setup based on experimental and simulation data of the scenario considered. Our results support the effectiveness of infrastructure slicing to provide isolation in performance among the different slices. Then, using dedicated slices with segregated resources for each PL might reduce the number of the production downtimes and associated costs as the malfunctioning of a PL will not affect the network performance perceived by the performance-sensitive traffic from other PLs. Last, our results show that, besides the improvement in performance, TSN technology truly provides full isolation in the transport network compared to standard Ethernet thanks to traffic prioritization, traffic regulation, and bandwidth reservation capabilities.es_ES
dc.description.sponsorshipH2020 project 5G-CLARITY 871428es_ES
dc.description.sponsorshipSpanish Government PID2019-108713RB-C53es_ES
dc.description.sponsorshipTRUE-5Ges_ES
dc.language.isoenges_ES
dc.publisherMDPIes_ES
dc.rightsAtribución 3.0 España*
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/es/*
dc.subjectInfrastructure slicinges_ES
dc.subjectNetwork slicinges_ES
dc.subjectPrivate networkses_ES
dc.subject5Ges_ES
dc.subjectDelayes_ES
dc.subjectResponse timees_ES
dc.subjectIsolationes_ES
dc.title5G Infrastructure Network Slicing: E2E Mean Delay Model and Effectiveness Assessment to Reduce Downtimes in Industry 4.0es_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/H2020/871428es_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses_ES
dc.identifier.doi10.3390/s22010229
dc.type.hasVersioninfo:eu-repo/semantics/publishedVersiones_ES


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