Cargando…
QoS Management and Flexible Traffic Detection Architecture for 5G Mobile Networks
The next generation of 5G networks is being developed to provide services with the highest Quality of Service (QoS) attributes, such as ultra-low latency, ultra-reliable communication, high data rates, and high user mobility experience. To this end, several new settings must be implemented in the mo...
Autores principales: | , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6470826/ https://www.ncbi.nlm.nih.gov/pubmed/30884888 http://dx.doi.org/10.3390/s19061335 |
_version_ | 1783411886175289344 |
---|---|
author | López Rodríguez, Fernando Silva Dias, Ugo Campelo, Divanilson R. de Oliveira Albuquerque, Robson Lim, Se-Jung García Villalba, Luis Javier |
author_facet | López Rodríguez, Fernando Silva Dias, Ugo Campelo, Divanilson R. de Oliveira Albuquerque, Robson Lim, Se-Jung García Villalba, Luis Javier |
author_sort | López Rodríguez, Fernando |
collection | PubMed |
description | The next generation of 5G networks is being developed to provide services with the highest Quality of Service (QoS) attributes, such as ultra-low latency, ultra-reliable communication, high data rates, and high user mobility experience. To this end, several new settings must be implemented in the mobile network architecture such as the incorporation of Network Function Virtualization (NFV) and Software-Defined Networking (SDN), along with the shift of processes to the edge of the network. This work proposes an architecture combining the NFV and SDN concepts to provide the logic for Quality of Service (QoS) traffic detection and the logic for QoS management in next-generation mobile networks. It can be applied to the mobile backhaul and the mobile core network to work with both 5G mobile access networks or current 4G access networks, keeping backward compatibility with current mobile devices. In order to manage traffic without QoS and with QoS requirements, this work incorporates Multiprotocol Label Switching (MPLS) in the mobile data plane. A new flexible and programmable method to detect traffic with QoS requirements is also proposed, along with an Evolved Packet System (EPS)-bearer/QoS-flow creation with QoS considering all elements in the path. These goals are achieved by using proactive and reactive path setup methods to route the traffic immediately and simultaneously process it in the search for QoS requirements. Finally, a prototype is presented to prove the benefits and the viability of the proposed concepts. |
format | Online Article Text |
id | pubmed-6470826 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-64708262019-04-26 QoS Management and Flexible Traffic Detection Architecture for 5G Mobile Networks López Rodríguez, Fernando Silva Dias, Ugo Campelo, Divanilson R. de Oliveira Albuquerque, Robson Lim, Se-Jung García Villalba, Luis Javier Sensors (Basel) Article The next generation of 5G networks is being developed to provide services with the highest Quality of Service (QoS) attributes, such as ultra-low latency, ultra-reliable communication, high data rates, and high user mobility experience. To this end, several new settings must be implemented in the mobile network architecture such as the incorporation of Network Function Virtualization (NFV) and Software-Defined Networking (SDN), along with the shift of processes to the edge of the network. This work proposes an architecture combining the NFV and SDN concepts to provide the logic for Quality of Service (QoS) traffic detection and the logic for QoS management in next-generation mobile networks. It can be applied to the mobile backhaul and the mobile core network to work with both 5G mobile access networks or current 4G access networks, keeping backward compatibility with current mobile devices. In order to manage traffic without QoS and with QoS requirements, this work incorporates Multiprotocol Label Switching (MPLS) in the mobile data plane. A new flexible and programmable method to detect traffic with QoS requirements is also proposed, along with an Evolved Packet System (EPS)-bearer/QoS-flow creation with QoS considering all elements in the path. These goals are achieved by using proactive and reactive path setup methods to route the traffic immediately and simultaneously process it in the search for QoS requirements. Finally, a prototype is presented to prove the benefits and the viability of the proposed concepts. MDPI 2019-03-17 /pmc/articles/PMC6470826/ /pubmed/30884888 http://dx.doi.org/10.3390/s19061335 Text en © 2019 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 (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article López Rodríguez, Fernando Silva Dias, Ugo Campelo, Divanilson R. de Oliveira Albuquerque, Robson Lim, Se-Jung García Villalba, Luis Javier QoS Management and Flexible Traffic Detection Architecture for 5G Mobile Networks |
title | QoS Management and Flexible Traffic Detection Architecture for 5G Mobile Networks |
title_full | QoS Management and Flexible Traffic Detection Architecture for 5G Mobile Networks |
title_fullStr | QoS Management and Flexible Traffic Detection Architecture for 5G Mobile Networks |
title_full_unstemmed | QoS Management and Flexible Traffic Detection Architecture for 5G Mobile Networks |
title_short | QoS Management and Flexible Traffic Detection Architecture for 5G Mobile Networks |
title_sort | qos management and flexible traffic detection architecture for 5g mobile networks |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6470826/ https://www.ncbi.nlm.nih.gov/pubmed/30884888 http://dx.doi.org/10.3390/s19061335 |
work_keys_str_mv | AT lopezrodriguezfernando qosmanagementandflexibletrafficdetectionarchitecturefor5gmobilenetworks AT silvadiasugo qosmanagementandflexibletrafficdetectionarchitecturefor5gmobilenetworks AT campelodivanilsonr qosmanagementandflexibletrafficdetectionarchitecturefor5gmobilenetworks AT deoliveiraalbuquerquerobson qosmanagementandflexibletrafficdetectionarchitecturefor5gmobilenetworks AT limsejung qosmanagementandflexibletrafficdetectionarchitecturefor5gmobilenetworks AT garciavillalbaluisjavier qosmanagementandflexibletrafficdetectionarchitecturefor5gmobilenetworks |