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5G QoS model for Time-Sensitive Networking

5G Dienstgüte-Modell für Time-Sensitive Networking
  • Niklas Ambrosy

    Niklas Ambrosy studied Industrial Engineering and Automotive and Mobility Management. Currently, he is pursuing his Ph.D. degree on data traffic concepts for 5G-TSN networks at Volkswagen. His research interests include 5G in industrial automation in combination with other relevant industrial technologies and protocols.

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    , Christian Markwart

    Christian Markwart received the Dipl.-Ing. degree from FHS Wiesbaden, Germany in 1985 and has been working since then in varying positions dealing with public and private networks. Currently, he is engaged in Nokia Architecture, Security & Automation Standardization with focus on wireless connectivity for Industrial IoT and support for Personal IoT Networks (PIN).

    , Rüdiger Halfmann

    Rüdiger Halfmann received the Dipl.-Ing. degree from University of Kaiserslautern, Germany in 1993 and has been working since then on the evolution of mobile communication systems. Currently, he is engaged in Nokia Standardization with focus on wireless connectivity for Industrial IoT. He is responsible for the design, realization, and operation of real time PoC systems.

    and Lisa Underberg

    Lisa Underberg studied Electrical Engineering and received her Ph.D. on wireless communication systems for factory automation in 2019 from the Technical University of Dortmund, Germany. Currently, she heads the “Wireless Automation” group at ifak, chairs 5G-ACIA’s working group “Industrial 5G in Practice”, and participates in ZVEI, VDI, and VDE.

Abstract

Flexible production processes and applications for Industry 4.0 expect a seamless, deterministic communication over scalable infrastructure networks that rely on a combination of wired and wireless technologies. Time-Sensitive Networking (TSN) and 5G are considered key technologies to meet the communication requirements of Industry 4.0. To integrate 5G into TSN, the 3rd Generation Partnership Project (3GPP) specified the 5G system (5GS) as Ethernet bridge, to exchange time synchronization and Quality of Service (QoS) requirement information between wired TSN entities and 5GS. QoS mapping between TSN and 5G is non-trivial and requires a deeper analysis of relevant parameters and QoS processing. In this paper, different solution approaches for QoS mapping between TSN and 5G are presented and discussed. The contribution covers fundamentals and prerequisites on the way to a 5G QoS model for TSN, which has not yet been addressed in 3GPP nor IEEE.

Zusammenfassung

Flexible Produktionsprozesse und Anwendungen für Industrie 4.0 erwarten eine nahtlose, deterministische Kommunikation über skalierbare Infrastrukturnetzwerke, die auf einer Kombination aus drahtgebundenen und drahtlosen Technologien basieren. Time-Sensitive Networking (TSN) und 5G gelten als Schlüsseltechnologien, um die Kommunikationsanforderungen von Industrie 4.0 zu erfüllen. Um 5G in TSN zu integrieren, spezifizierte das 3rd Generation Partnership Project (3GPP) das 5G-System (5GS) als Ethernet-Bridge, um Informationen über Zeitsynchronisation und Dienstgüteanforderungen (QoS) zwischen kabelgebundenen TSN-Komponenten und 5GS auszutauschen. Die QoS-Zuordnung zwischen TSN und 5G ist nicht trivial und erfordert eine tiefere Analyse der relevanten Parameter und der QoS-Verarbeitung. In diesem Beitrag werden verschiedene Lösungsansätze für das QoS-Mapping zwischen TSN und 5G vorgestellt und diskutiert. Der Beitrag behandelt Grundlagen und Voraussetzungen auf dem Weg zu einem 5G-QoS-Modell für TSN, das bisher weder in 3GPP noch in IEEE behandelt wurde.


Corresponding author: Niklas Ambrosy, Volkswagen AG , Berliner Ring 2, 38440 Wolfsburg, Germany, E-mail:

About the authors

Niklas Ambrosy

Niklas Ambrosy studied Industrial Engineering and Automotive and Mobility Management. Currently, he is pursuing his Ph.D. degree on data traffic concepts for 5G-TSN networks at Volkswagen. His research interests include 5G in industrial automation in combination with other relevant industrial technologies and protocols.

Christian Markwart

Christian Markwart received the Dipl.-Ing. degree from FHS Wiesbaden, Germany in 1985 and has been working since then in varying positions dealing with public and private networks. Currently, he is engaged in Nokia Architecture, Security & Automation Standardization with focus on wireless connectivity for Industrial IoT and support for Personal IoT Networks (PIN).

Rüdiger Halfmann

Rüdiger Halfmann received the Dipl.-Ing. degree from University of Kaiserslautern, Germany in 1993 and has been working since then on the evolution of mobile communication systems. Currently, he is engaged in Nokia Standardization with focus on wireless connectivity for Industrial IoT. He is responsible for the design, realization, and operation of real time PoC systems.

Lisa Underberg

Lisa Underberg studied Electrical Engineering and received her Ph.D. on wireless communication systems for factory automation in 2019 from the Technical University of Dortmund, Germany. Currently, she heads the “Wireless Automation” group at ifak, chairs 5G-ACIA’s working group “Industrial 5G in Practice”, and participates in ZVEI, VDI, and VDE.

Acknowledgments

The results, opinions, and conclusions expressed in this publication are not necessarily those of Volkswagen AG.

  1. Research ethics: Not applicable.

  2. Author contributions: The authors have accepted responsibility for the entire content of this manuscript and approved its submission.

  3. Competing interests: The results, opinions, and conclusions expressed in this publication are not necessarily those of Volkswagen AG.

  4. Research funding: None declared.

  5. Data availability: Not applicable.

References

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Received: 2024-01-02
Accepted: 2024-02-05
Published Online: 2024-04-08
Published in Print: 2024-04-25

© 2024 Walter de Gruyter GmbH, Berlin/Boston

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