QoS Management and Flexible Traffic Detection Architecture for 5G Mobile Networks

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López Rodríguez, Fernando and Silva Dias, Ugo and Campelo, Divanilson and Oliveira Albuquerque, Robson and Lim, Se-Jung and García Villalba, Luis (2019) QoS Management and Flexible Traffic Detection Architecture for 5G Mobile Networks. Sensors, 19 (6). p. 1335. ISSN 1424-8220

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Official URL: https://doi.org/10.3390/s19061335



Abstract

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.


Item Type:Article
Uncontrolled Keywords:5G architecture; multiprotocol label switching; network function virtualization; QoS management; QoS traffic detection; software-defined networks
Subjects:Sciences > Computer science > Internet
Sciences > Computer science > Computer networks
ID Code:67661
Deposited On:06 Sep 2021 15:14
Last Modified:06 Sep 2021 15:20

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