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Enhancing Real-Time Networked Embedded Systems with End-to-end 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.ORCID iD: 0000-0003-3242-6113
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0003-3469-1834
Mälardalen University.
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2024 (English)In: 2024 IEEE 14th International Symposium on Industrial Embedded Systems (SIES) / [ed] IEEE, IEEE, 2024, p. 104-111Conference paper, Published paper (Refereed)
Abstract [en]

This paper explores the integration of Time-Sensitive Networking (TSN) with 5G cellular networks to support high-bandwidth and low-latency end-to-end communication in networked embedded systems. Integrating TSN with 5G has the potential to support predictable and deterministic end-to-end communication, as well as to significantly enhance scalability, particularly in industrial automation, by providing flexibility, efficiency, and responsiveness. To ensure smooth integration while preserving TSN's Quality of Service (QoS) requirements, effective traffic translation and forwarding within the network are crucial. In this regard, this paper addresses key challenges related to traffic translation, QoS implementation, and latency in both TSN and private 5G networks on a realistic scenario. Through experiments, measurements, and evaluation, this paper thoroughly assesses latency and network capabilities in the integrated networks. Understanding these metrics is essential for devising effective integration strategies. Our findings indicate that it is possible to achieve latencies under 20 ms in an integrated TSN-5G network, given our specific configuration of a private 5G setup with a channel bandwidth of 40 MHz. We also identify an urgent need for the implementation of a proper QoS mechanism in the Open Air Interface software to enable the prioritization of high-critical data transmission.

Place, publisher, year, edition, pages
IEEE, 2024. p. 104-111
National Category
Embedded Systems
Research subject
Computer Science
Identifiers
URN: urn:nbn:se:mdh:diva-69557DOI: 10.1109/SIES62473.2024.10768048ISI: 001434935800015Scopus ID: 2-s2.0-85214783123ISBN: 979-8-3503-8863-3 (print)OAI: oai:DiVA.org:mdh-69557DiVA, id: diva2:1920883
Conference
2024 IEEE 14th International Symposium on Industrial Embedded Systems (SIES)
Funder
Vinnova, 16533Swedish Energy AgencyAvailable from: 2024-12-12 Created: 2024-12-12 Last updated: 2025-10-10Bibliographically approved
In thesis
1. Real-time Communication in Integrated TSN-5G Networks
Open this publication in new window or tab >>Real-time Communication in Integrated TSN-5G Networks
2025 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

The rising demand for real-time applications with ultra-low end-to-end network latency has driven advancements in communication technologies. The IEEE 802.1 Time-Sensitive Networking (TSN) is a set of standards that enable low-latency wired communication, meeting the stringent timing requirements of real-time applications. TSN uses wired communication and lacks the mobility of wireless networks. To overcome this limitation and broaden the applicability of TSN across diverse use cases, the integration of TSN with wireless technologies is essential. The fifth generation of cellular networks (5G) supports real-time applications by providing reliable communication with latencies as low as 1~ms. Seamless integration of TSN and 5G is needed to fully utilize the potential of these technologies in many contemporary and future industrial applications. However, achieving this integration presents significant challenges due to the fundamental differences between TSN and 5G, particularly in ensuring the applications requirements on end-to-end Quality of Services (QoS).

This thesis addresses the challenges of integrated TSN-5G networks, focusing on ensuring end-to-end QoS, traffic forwarding, and real-time scheduling. It presents a systematic literature survey of the existing research on TSN-5G integration that identifies gaps in the current research, including the need of a dedicated TSN-5G gateway to ensure seamless integration. To bridge this gap, the thesis proposes novel techniques to ensure end-to-end QoS and traffic forwarding, validated through a proof-of-concept implementation in a private 5G setup. Moreover, the thesis tackles the challenge of scheduling 5G radio resources for real-time TSN flows with diverse timing requirements. It introduces flow-based radio resource scheduling approaches that adapt to dynamic channel conditions and ensure latency guarantees for the transmission of TSN flows over 5G. These contributions enable real-time communication in integrated TSN-5G networks, paving the way for advanced real-time applications across various industrial domains.

Place, publisher, year, edition, pages
Västerås: Mälardalens universitet, 2025. p. 280
Series
Mälardalen University Press Dissertations, ISSN 1651-4238 ; 430
Keywords
TSN; Time-Sensitive Networking; 5G; Integrated TSN-5G; Real-time Communication
National Category
Embedded Systems Communication Systems
Research subject
Computer Science
Identifiers
urn:nbn:se:mdh:diva-70496 (URN)978-91-7485-705-4 (ISBN)
Public defence
2025-05-12, Gamma (och via Zoom)., Mälardalens universitet, Västerås, 09:15 (English)
Opponent
Supervisors
Funder
Vinnova, 16533
Note

The complete PDF is available upon request.

Available from: 2025-03-25 Created: 2025-03-23 Last updated: 2025-10-10Bibliographically approved

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Satka, ZenepeMubeen, SaadAshjaei, Seyed Mohammad Hossein

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