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Work in Progress: A Centralized Configuration Model for TSN-5G Networks
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0002-6621-2423
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems. Universitat de les Illes, Balears, Spain.
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0003-3469-1834
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0003-3242-6113
2022 (English)In: IEEE International Conference on Emerging Technologies and Factory Automation, ETFA, Institute of Electrical and Electronics Engineers Inc. , 2022, Vol. 2022-SeptemberConference paper, Published paper (Refereed)
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.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers Inc. , 2022. Vol. 2022-September
Keywords [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
National Category
Telecommunications
Identifiers
URN: urn:nbn:se:mdh:diva-60956DOI: 10.1109/ETFA52439.2022.9921731ISI: 000934103900264Scopus ID: 2-s2.0-85141390933ISBN: 9781665499965 (print)OAI: oai:DiVA.org:mdh-60956DiVA, id: diva2:1712584
Conference
27th IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2022, Stuttgart, Germany, 6-9 September 2022
Available from: 2022-11-22 Created: 2022-11-22 Last updated: 2023-03-22Bibliographically approved
In thesis
1. End-to-end QoS Mapping and Traffic Forwarding in Converged TSN-5G Networks
Open this publication in new window or tab >>End-to-end QoS Mapping and Traffic Forwarding in Converged TSN-5G Networks
2023 (English)Licentiate thesis, comprehensive summary (Other academic)
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.

Place, publisher, year, edition, pages
Västerås: Mälardalens universitet, 2023
Series
Mälardalen University Press Licentiate Theses, ISSN 1651-9256 ; 337
Keywords
Time-Sensitive Networking, TSN, 5G, TSN-5G, URLLC, Industry 4.0.
National Category
Embedded Systems
Research subject
Computer Science
Identifiers
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 (English)
Opponent
Supervisors
Projects
PROVIDENT
Funder
Vinnova, 16533
Available from: 2023-03-14 Created: 2023-03-13 Last updated: 2023-03-30Bibliographically approved

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Satka, ZenepeAlvarez Vadillo, InesAshjaei, Seyed Mohammad HosseinMubeen, Saad

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