Traffic Classification for Network Slicing in Mobile Networks
dc.contributor.author | Gabilondo García, Álvaro | |
dc.contributor.author | Fernández, Zaloa | |
dc.contributor.author | Viola, Roberto | |
dc.contributor.author | Martín, Ángel | |
dc.contributor.author | Zorrilla, Mikel | |
dc.contributor.author | Angueira Buceta, Pablo | |
dc.contributor.author | Montalbán Sánchez, Jon | |
dc.date.accessioned | 2022-04-20T11:37:20Z | |
dc.date.available | 2022-04-20T11:37:20Z | |
dc.date.issued | 2022-03-30 | |
dc.identifier.citation | Electronics 11(7) : (2022) // Article ID 1097 | es_ES |
dc.identifier.issn | 2079-9292 | |
dc.identifier.uri | http://hdl.handle.net/10810/56370 | |
dc.description.abstract | Network slicing is a promising technique used in the smart delivery of traffic and can satisfy the requirements of specific applications or systems based on the features of the 5G network. To this end, an appropriate slice needs to be selected for each data flow to efficiently transmit data for different applications and heterogeneous requirements. To apply the slicing paradigm at the radio segment of a cellular network, this paper presents two approaches for dynamically classifying the traffic types of individual flows and transmitting them through a specific slice with an associated 5G quality-of-service identifier (5QI). Finally, using a 5G standalone (SA) experimental network solution, we apply the radio resource sharing configuration to prioritize traffic that is dispatched through the most suitable slice. The results demonstrate that the use of network slicing allows for higher efficiency and reliability for the most critical data in terms of packet loss or jitter. | es_ES |
dc.description.sponsorship | This research was supported by the Spanish Centre for the Development of Industrial Technology (CDTI) and the Ministry of Economy, Industry and Competitiveness under grant/project CER-20191015/Open, Virtualized Technology Demonstrators for Smart Networks (Open-VERSO). | es_ES |
dc.language.iso | eng | es_ES |
dc.publisher | MDPI | es_ES |
dc.rights | info:eu-repo/semantics/openAccess | es_ES |
dc.rights.uri | http://creativecommons.org/licenses/by/3.0/es/ | |
dc.subject | network slicing | es_ES |
dc.subject | 5QI | es_ES |
dc.subject | traffic classification | es_ES |
dc.subject | nDPI | es_ES |
dc.subject | 5G network | es_ES |
dc.title | Traffic Classification for Network Slicing in Mobile Networks | es_ES |
dc.type | info:eu-repo/semantics/article | es_ES |
dc.date.updated | 2022-04-11T13:59:22Z | |
dc.rights.holder | 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). | es_ES |
dc.relation.publisherversion | https://www.mdpi.com/2079-9292/11/7/1097/htm | es_ES |
dc.identifier.doi | 10.3390/electronics11071097 | |
dc.departamentoes | Ingeniería de comunicaciones | |
dc.departamentoes | Tecnología electrónica | |
dc.departamentoeu | Komunikazioen ingeniaritza | |
dc.departamentoeu | Teknologia elektronikoa |
Files in this item
This item appears in the following Collection(s)
Except where otherwise noted, this item's license is described as 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).