https://www.mdu.se/

mdu.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
A comprehensive systematic review of integration of time sensitive networking and 5G communication
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: 0000-0003-3469-1834
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0001-5590-0784
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.
Show others and affiliations
2023 (English)In: Journal of systems architecture, ISSN 1383-7621, E-ISSN 1873-6165, Vol. 138, article id 102852Article in journal (Refereed) Published
Abstract [en]

Many industrial real-time applications in various domains, e.g., automotive, industrial automation, industrial IoT, and industry 4.0, require ultra-low end-to-end network latency, often in the order of 10 milliseconds or less. 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. The flexibility of such a wired connection can be increased if it is integrated with a mobile wireless network. The fifth generation of cellular networks (5G) is capable of supporting the required levels of network latency with the Ultra-Reliable Low Latency Communication (URLLC) service. To fully utilize the potential of these two technologies (TSN and 5G) in industrial applications, seamless integration of the TSN wired-based network with the 5G wireless-based network is needed. In this article, we provide a comprehensive and well-structured snapshot of the existing research on TSN-5G integration. In this regard, we present the planning, execution, and analysis results of the systematic review. We also identify the trends, technical characteristics, and potential gaps in the state of the art, thus highlighting future research directions in the integration of TSN and 5G communication technologies. We notice that 73% of the primary studies address the time synchronization in the integration of TSN and 5G technologies, introducing approaches with an accuracy starting from the levels of hundred nanoseconds to one microsecond. Majority of primary studies aim at optimizing communication latency in their approach, which is a key quality attribute in automotive and industrial automation applications today.

Place, publisher, year, edition, pages
Elsevier, 2023. Vol. 138, article id 102852
Keywords [en]
Time-Sensitive Networking, TSN, 5G, TSN-5G, URLLC, Industry 4.0
National Category
Communication Systems Embedded Systems
Research subject
Computer Science
Identifiers
URN: urn:nbn:se:mdh:diva-62062DOI: 10.1016/j.sysarc.2023.102852ISI: 000956098500001Scopus ID: 2-s2.0-85149863981OAI: oai:DiVA.org:mdh-62062DiVA, id: diva2:1742975
Projects
PROVIDENT
Funder
Vinnova, 16533Available from: 2023-03-13 Created: 2023-03-13 Last updated: 2023-05-17Bibliographically 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

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textScopus

Authority records

Satka, ZenepeAshjaei, Seyed Mohammad HosseinFotouhi, HosseinDaneshtalab, MasoudSjödin, MikaelMubeen, Saad

Search in DiVA

By author/editor
Satka, ZenepeAshjaei, Seyed Mohammad HosseinFotouhi, HosseinDaneshtalab, MasoudSjödin, MikaelMubeen, Saad
By organisation
Embedded Systems
In the same journal
Journal of systems architecture
Communication SystemsEmbedded Systems

Search outside of DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 189 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf