{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,12]],"date-time":"2025-10-12T03:36:02Z","timestamp":1760240162962,"version":"build-2065373602"},"reference-count":39,"publisher":"MDPI AG","issue":"6","license":[{"start":{"date-parts":[[2019,3,17]],"date-time":"2019-03-17T00:00:00Z","timestamp":1552780800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>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.<\/jats:p>","DOI":"10.3390\/s19061335","type":"journal-article","created":{"date-parts":[[2019,3,18]],"date-time":"2019-03-18T12:18:53Z","timestamp":1552911533000},"page":"1335","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":9,"title":["QoS Management and Flexible Traffic Detection Architecture for 5G Mobile Networks"],"prefix":"10.3390","volume":"19","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0844-6651","authenticated-orcid":false,"given":"Fernando","family":"L\u00f3pez Rodr\u00edguez","sequence":"first","affiliation":[{"name":"Department of Electrical Engineering, University of Bras\u00edlia, 70910-900 Bras\u00edlia, Brazil"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0121-1523","authenticated-orcid":false,"given":"Ugo","family":"Silva Dias","sequence":"additional","affiliation":[{"name":"Department of Electrical Engineering, University of Bras\u00edlia, 70910-900 Bras\u00edlia, Brazil"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8851-2665","authenticated-orcid":false,"given":"Divanilson R.","family":"Campelo","sequence":"additional","affiliation":[{"name":"Centro de Inform\u00e1tica, Universidade Federal de Pernambuco, 50740-560 Recife, Brazil"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6717-3374","authenticated-orcid":false,"given":"Robson de","family":"Oliveira Albuquerque","sequence":"additional","affiliation":[{"name":"Department of Electrical Engineering, University of Bras\u00edlia, 70910-900 Bras\u00edlia, Brazil"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Se-Jung","family":"Lim","sequence":"additional","affiliation":[{"name":"School of Software, Hallym University, Hallymdaehak-gil, Chuncheon-si, Gangwon-do 24252, Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7573-6272","authenticated-orcid":false,"given":"Luis Javier","family":"Garc\u00eda Villalba","sequence":"additional","affiliation":[{"name":"Group of Analysis, Security and Systems (GASS), Department of Software Engineering and Artificial Intelligence (DISIA), Faculty of Computer Science and Engineering, Office 431, Universidad Complutense de Madrid (UCM), Calle Profesor Jos\u00e9 Garc\u00eda Santesmases, 9, Ciudad Universitaria, 28040 Madrid, Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2019,3,17]]},"reference":[{"key":"ref_1","unstructured":"3GPP TS 23.501 V15.2.0 (2018, November 11). 3rd Generation Partnership Project; Technical Specification Group Services and System Aspects; System Architecture for the 5G System; Stage 2 (Release 15). 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