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dc.contributor.authorLuque Schempp, Francisco
dc.contributor.authorPanizo-Jaime, Laura 
dc.contributor.authorGallardo-Melgarejo, María del Mar 
dc.contributor.authorMerino-Gómez, Pedro 
dc.contributor.authorRivas, Francisco Javier
dc.date.accessioned2022-07-21T06:54:52Z
dc.date.available2022-07-21T06:54:52Z
dc.date.created2022
dc.date.issued2022
dc.identifier.citationLuque-Schempp, Francisco, [et al.] (2022). Towards Zero Touch Configuration of 5G Non-Public Networks for Time Sensitive Networking. IEEE Network, vol. 36, no. 2, pp. 50-56.es_ES
dc.identifier.urihttps://hdl.handle.net/10630/24749
dc.descriptionThis preprint has not undergone peer review or any post-submission improvements or corrections. The Version of Record of this contribution is published in F. Luque-Schempp, L. Panizo, M. -d. -M. Gallardo, P. Merino and J. Rivas, "Toward Zero Touch Configuration of 5G Non-Public Networks for Time Sensitive Networking," in IEEE Network, vol. 36, no. 2, pp. 50-56, March/April 2022, doi: 10.1109/MNET.006.2100442.mission improvements or corrections. The Version of Record of this contribution is published ines_ES
dc.description.abstractThe need to increase mobility and to remove cables in industrial environments is pushing 5G as a valuable communication system to connect traditional deterministic Ethernet-based devices. One alternative is the adoption of Time Sensitive Networking (TSN) standards over 5G Non-Public Networks (5G NPN) deployed in the company premises. This scenario presents several challenges, being the configuration of the 5G part the most relevant to provide latency, reliability and throughput balance suitable to ensure that all the TSN traffic can be delivered in time. Our research work addresses this problem from the perspective of the learning automata. Our aim is to learn from the live network to build a smart controller that can dynamically predict and apply a suitable configuration of the 5G NPN that can satisfy the requirements of the current TSN traffic. The article presents the main ideas of this novel approach.es_ES
dc.description.sponsorshipEuropean Union Horizon 2020 under grant agreements No.101016608 (EVOLVED5G) and No.957317 (AFFORDABLE5G). Spanish Government grant agreement RTI-2018-099777-B-I00 (RFOG)es_ES
dc.language.isospaes_ES
dc.publisherIEEEes_ES
dc.rightsinfo:eu-repo/semantics/openAccesses_ES
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectSistemas de comunicaciones inalámbricoses_ES
dc.subject.other5G mobile communicationes_ES
dc.subject.otherLearning automataes_ES
dc.subject.otherPredictive modelses_ES
dc.subject.otherTSNes_ES
dc.subject.otherITIS-Informe-Técnicoes_ES
dc.titleTowards Zero Touch Configuration of 5G Non-Public Networks for Time Sensitive Networkinges_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.centroE.T.S.I. Informáticaes_ES
dc.identifier.doi10.1109/MNET.006.2100442
dc.rights.ccAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.ccAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.ccAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.type.hasVersioninfo:eu-repo/semantics/submittedVersiones_ES


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