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dc.contributor.authorPrados Garzón, Jonathan 
dc.contributor.authorTaleb, Tarik
dc.date.accessioned2026-02-10T07:53:38Z
dc.date.available2026-02-10T07:53:38Z
dc.date.issued2021-03-08
dc.identifier.citationJ. Prados-Garzon and T. Taleb, "Asynchronous Time-Sensitive Networking for 5G Backhauling," in IEEE Network, vol. 35, no. 2, pp. 144-151, March/April 2021, doi: 10.1109/MNET.011.2000402es_ES
dc.identifier.issn1558-156X
dc.identifier.issn0890-8044
dc.identifier.urihttps://hdl.handle.net/10481/110781
dc.descriptionThis work is partially supported by the European Union’s Horizon 2020 research and innovation programme under the CHARITY project with grant agreement No. 101016509. It is also partially supported by the Academy of Finland Project CSN - under Grant Agreement 311654 and the 6Genesis project under Grant No. 318927.es_ES
dc.description.abstractFifth Generation (5G) phase 2 rollouts are around the corner to make mobile ultra-reliable and low-latency services a reality. However, to realize that scenario, besides the new 5G built-in Ultra-Reliable Low-Latency Communication (URLLC) capabilities, it is required to provide a substrate network with deterministic Quality-of-Service support for interconnecting the different 5G network functions and services. Time-Sensitive Networking (TSN) appears as an appealing network technology to meet the 5G connectivity needs in many scenarios involving critical services and their coexistence with Mobile Broadband traffic. In this article, we delve into the adoption of asynchronous TSN for 5G backhauling and some of the relevant related aspects. We start motivating TSN and introducing its mainstays. Then, we provide a comprehensive overview of the architecture and operation of the IEEE 802.1Qcr Asynchronous Traffic Shaper (ATS), the building block of asynchronous TSN. Next, a management framework based on ETSI Zero-touch network and Service Management (ZSM) and Abstraction and Control of Traffic Engineered Networks (ACTN) reference models is presented for enabling the TSN transport network slicing and its interworking with Fifth Generation (5G) for backhauling. After, we cover the flow allocation problem in asynchronous TSNs and the importance of Machine Learning techniques for assisting it. Last, we present a simulation-based proof-of-concept (PoC) to assess the capacity of ATS-based forwarding planes for accommodating 5G data flows.es_ES
dc.description.sponsorshipEuropean Union’s Horizon 2020, Nº 101016509es_ES
dc.description.sponsorshipAcademy of Finland Project CSN, grant 311654es_ES
dc.description.sponsorshipGenesis project, grant 318927es_ES
dc.language.isoenges_ES
dc.publisherIEEEes_ES
dc.rightsAtribución-NoComercial-CompartirIgual 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/*
dc.subjectBackhaul Networkses_ES
dc.subjectTransport Networkses_ES
dc.subjectTime-Sensitive Networking (TSN)es_ES
dc.titleAsynchronous Time-Sensitive Networking for 5G Backhaulinges_ES
dc.typejournal articlees_ES
dc.rights.accessRightsopen accesses_ES
dc.identifier.doi10.1109/MNET.011.2000402
dc.type.hasVersionSMURes_ES


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