Cargando…

5G Infrastructure Network Slicing: E2E Mean Delay Model and Effectiveness Assessment to Reduce Downtimes in Industry 4.0

Fifth 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 ca...

Descripción completa

Detalles Bibliográficos
Autores principales: Chinchilla-Romero, Lorena, Prados-Garzon, Jonathan, Ameigeiras, Pablo, Muñoz, Pablo, Lopez-Soler, Juan M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8749764/
https://www.ncbi.nlm.nih.gov/pubmed/35009771
http://dx.doi.org/10.3390/s22010229
_version_ 1784631307955863552
author Chinchilla-Romero, Lorena
Prados-Garzon, Jonathan
Ameigeiras, Pablo
Muñoz, Pablo
Lopez-Soler, Juan M.
author_facet Chinchilla-Romero, Lorena
Prados-Garzon, Jonathan
Ameigeiras, Pablo
Muñoz, Pablo
Lopez-Soler, Juan M.
author_sort Chinchilla-Romero, Lorena
collection PubMed
description Fifth 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.
format Online
Article
Text
id pubmed-8749764
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-87497642022-01-12 5G Infrastructure Network Slicing: E2E Mean Delay Model and Effectiveness Assessment to Reduce Downtimes in Industry 4.0 Chinchilla-Romero, Lorena Prados-Garzon, Jonathan Ameigeiras, Pablo Muñoz, Pablo Lopez-Soler, Juan M. Sensors (Basel) Article Fifth 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. MDPI 2021-12-29 /pmc/articles/PMC8749764/ /pubmed/35009771 http://dx.doi.org/10.3390/s22010229 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/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/).
spellingShingle Article
Chinchilla-Romero, Lorena
Prados-Garzon, Jonathan
Ameigeiras, Pablo
Muñoz, Pablo
Lopez-Soler, Juan M.
5G Infrastructure Network Slicing: E2E Mean Delay Model and Effectiveness Assessment to Reduce Downtimes in Industry 4.0
title 5G Infrastructure Network Slicing: E2E Mean Delay Model and Effectiveness Assessment to Reduce Downtimes in Industry 4.0
title_full 5G Infrastructure Network Slicing: E2E Mean Delay Model and Effectiveness Assessment to Reduce Downtimes in Industry 4.0
title_fullStr 5G Infrastructure Network Slicing: E2E Mean Delay Model and Effectiveness Assessment to Reduce Downtimes in Industry 4.0
title_full_unstemmed 5G Infrastructure Network Slicing: E2E Mean Delay Model and Effectiveness Assessment to Reduce Downtimes in Industry 4.0
title_short 5G Infrastructure Network Slicing: E2E Mean Delay Model and Effectiveness Assessment to Reduce Downtimes in Industry 4.0
title_sort 5g infrastructure network slicing: e2e mean delay model and effectiveness assessment to reduce downtimes in industry 4.0
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8749764/
https://www.ncbi.nlm.nih.gov/pubmed/35009771
http://dx.doi.org/10.3390/s22010229
work_keys_str_mv AT chinchillaromerolorena 5ginfrastructurenetworkslicinge2emeandelaymodelandeffectivenessassessmenttoreducedowntimesinindustry40
AT pradosgarzonjonathan 5ginfrastructurenetworkslicinge2emeandelaymodelandeffectivenessassessmenttoreducedowntimesinindustry40
AT ameigeiraspablo 5ginfrastructurenetworkslicinge2emeandelaymodelandeffectivenessassessmenttoreducedowntimesinindustry40
AT munozpablo 5ginfrastructurenetworkslicinge2emeandelaymodelandeffectivenessassessmenttoreducedowntimesinindustry40
AT lopezsolerjuanm 5ginfrastructurenetworkslicinge2emeandelaymodelandeffectivenessassessmenttoreducedowntimesinindustry40