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Developing a Translation Technique for Converged TSN-5G Communication
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0002-6621-2423
Mälardalen University.
Mälardalen University.
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0003-3469-1834
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2022 (English)In: IEEE International Workshop on Factory Communication Systems - Proceedings, WFCS, Institute of Electrical and Electronics Engineers Inc. , 2022, p. 103-110Conference paper, Published paper (Refereed)
Abstract [en]

Time Sensitive Networking (TSN) is a set of IEEE standards based on switched Ethernet that aim at meeting high-bandwidth and low-latency requirements in wired communication. TSN implementations typically do not support integration of wireless networks, which limits their applicability to many industrial applications that need both wired and wire-less communication. The development of 5G and its promised Ultra-Reliable and Low-Latency Communication (URLLC) in-tegrated with TSN would offer a promising solution to meet the bandwidth, latency and reliability requirements in these industrial applications. In order to support such an integration, we propose a technique to translate the traffic between TSN and 5G communication technologies. As a proof of concept, we implement the translation technique in a well-known TSN simulator, namely NeSTiNg, that is based on the OMNeT ++ tool. Furthermore, we evaluate the proposed technique using an automotive industrial use case. 

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers Inc. , 2022. p. 103-110
Keywords [en]
3GPP, 5G, TSN, TSN Translator, URLLC, Bandwidth, IEEE Standards, High bandwidth, High-low, Low latency, Low-latency communication, Switched ethernet, Time sensitive networking, Time sensitive networking translator, Ultra-reliable and low-latency communication, 5G mobile communication systems
National Category
Electrical Engineering, Electronic Engineering, Information Engineering Telecommunications
Identifiers
URN: urn:nbn:se:mdh:diva-59265DOI: 10.1109/WFCS53837.2022.9779191ISI: 000843639500014Scopus ID: 2-s2.0-85131818621ISBN: 9781665410861 (print)OAI: oai:DiVA.org:mdh-59265DiVA, id: diva2:1675558
Conference
18th IEEE International Workshop on Factory Communication Systems, WFCS 2022, 27 April 2022 through 29 April 2022
Available from: 2022-06-23 Created: 2022-06-23 Last updated: 2023-03-14Bibliographically 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, ZenepeAshjaei, Seyed Mohammad HosseinFotouhi, HosseinSjödin, MikaelDaneshtalab, MasoudMubeen, Saad

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Electrical Engineering, Electronic Engineering, Information EngineeringTelecommunications

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