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Work in Progress: A Centralized Configuration Model for TSN-5G Networks
Mälardalens universitet, Akademin för innovation, design och teknik, Inbyggda system.ORCID-id: 0000-0002-6621-2423
Mälardalens universitet, Akademin för innovation, design och teknik, Inbyggda system. Universitat de les Illes, Balears, Spain.
Mälardalens universitet, Akademin för innovation, design och teknik, Inbyggda system.ORCID-id: 0000-0003-3469-1834
Mälardalens universitet, Akademin för innovation, design och teknik, Inbyggda system.ORCID-id: 0000-0003-3242-6113
2022 (engelsk)Inngår i: IEEE International Conference on Emerging Technologies and Factory Automation, ETFA, Institute of Electrical and Electronics Engineers Inc. , 2022, Vol. 2022-SeptemberKonferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

The integration of Time-Sensitive Networks (TSN) with 5G cellular networks requires a defined architecture for network configuration and management. Although 3GPP specifications provide necessary means for the TSN-5G integration, the operation of such converged TSN-5G network remains an open challenge for the research community. To address this challenge, this paper presents the ongoing work in developing a centralized architectural model to configure the TSN-5G network, and forward traffic from TSN to 5G and vice-versa. The proposed architectural model uses knowledge of the traffic characteristics to carry out a more accurate mapping of quality of service attributes between TSN and 5G.

sted, utgiver, år, opplag, sider
Institute of Electrical and Electronics Engineers Inc. , 2022. Vol. 2022-September
Emneord [en]
5G, Network Configuration, Time-Sensitive Networking, TSN-5G, Quality of service, Queueing networks, Architectural modeling, Cellular network, Centralised, Configuration and managements, Configuration modeling, Networks management, Time-sensitive network-5g, 5G mobile communication systems
HSV kategori
Identifikatorer
URN: urn:nbn:se:mdh:diva-60956DOI: 10.1109/ETFA52439.2022.9921731ISI: 000934103900264Scopus ID: 2-s2.0-85141390933ISBN: 9781665499965 (tryckt)OAI: oai:DiVA.org:mdh-60956DiVA, id: diva2:1712584
Konferanse
27th IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2022, Stuttgart, Germany, 6-9 September 2022
Tilgjengelig fra: 2022-11-22 Laget: 2022-11-22 Sist oppdatert: 2023-03-22bibliografisk kontrollert
Inngår i avhandling
1. End-to-end QoS Mapping and Traffic Forwarding in Converged TSN-5G Networks
Åpne denne publikasjonen i ny fane eller vindu >>End-to-end QoS Mapping and Traffic Forwarding in Converged TSN-5G Networks
2023 (engelsk)Licentiatavhandling, med artikler (Annet vitenskapelig)
Abstract [en]

The advancement of technology has led to an increase in the demand for ultra-low end-to-end network latency in real-time applications with a target of below 10ms. The IEEE 802.1 Time-Sensitive Networking (TSN) is a set of standards that supports the required low-latency wired communication with ultra-low jitter for real-time applications. TSN is designed for fixed networks thus it misses the flexibility of wireless networks.To overcome this limitation and to increase its applicability in different applications, an integration of TSN with other wireless technologies is needed. The fifth generation of cellular networks (5G) supports real-time applications with its Ultra-Reliable Low Latency Communication (URLLC) service. 5G URLLC is designed to meet the stringent timing requirements of these applications, such as providing reliable communication with latencies as low as 1ms. Seamless integration of TSN and 5G is needed to fully utilize the potential of these technologies in contemporary and future industrial applications. However, to achieve the end-to-end Quality of Service (QoS) requirements of a TSN-5G network, a significant effort is required due to the large dissimilarity between these technologies.

This thesis presents a comprehensive and well-structured snapshot of the existing research on TSN-5G integration that identifies gaps in the current research and highlights the opportunities for further research in the area of TSN-5G integration. In particular, the thesis identifies that the state of the art lacks an end-to-end mapping of QoS requirements and traffic forwarding mechanisms for a converged TSN-5G network. This lack of knowledge and tool support hampers the utilisation of ground-breaking technologies like TSN and 5G. Hence, the thesis develops novel techniques to support the end-to-end QoS mapping and traffic forwarding of a converged TSN-5G network for predictable communication.Furthermore, the thesis presents a translation technique between TSN and 5G with a proof-of-concept implementation in a well-known TSN network simulator. Moreover, a novel QoS mapping algorithm is proposed to support the systematic mapping of QoS characteristics and integration of traffic flows in a converged TSN-5G network.

sted, utgiver, år, opplag, sider
Västerås: Mälardalens universitet, 2023
Serie
Mälardalen University Press Licentiate Theses, ISSN 1651-9256 ; 337
Emneord
Time-Sensitive Networking, TSN, 5G, TSN-5G, URLLC, Industry 4.0.
HSV kategori
Forskningsprogram
datavetenskap
Identifikatorer
urn:nbn:se:mdh:diva-62060 (URN)978-91-7485-587-6 (ISBN)
Presentation
2023-04-20, Delta och online via Zoom, Mälardalens universitet, Västerås, 12:57 (engelsk)
Opponent
Veileder
Prosjekter
PROVIDENT
Forskningsfinansiär
Vinnova, 16533
Tilgjengelig fra: 2023-03-14 Laget: 2023-03-13 Sist oppdatert: 2023-03-30bibliografisk kontrollert

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