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
QoS-MAN: A Novel QoS Mapping Algorithm for TSN-5G Flows
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
2022 (English)In: 2022 IEEE 28TH INTERNATIONAL CONFERENCE ON EMBEDDED AND REAL-TIME COMPUTING SYSTEMS AND APPLICATIONS (RTCSA 2022), IEEE COMPUTER SOC , 2022, p. 220-227Conference paper, Published paper (Refereed)
Abstract [en]

Integrating wired Ethernet networks, such as Time-Sensitive Networks (TSN), to 5G cellular network requires a flow management technique to efficiently map TSN traffic to 5G Quality-of-Service (QoS) flows. The 3GPP Release 16 provides a set of predefined QoS characteristics, such as priority level, packet delay budget, and maximum data burst volume, which can be used for the 5G QoS flows. Within this context, mapping TSN traffic flows to 5G QoS flows in an integrated TSN-5G network is of paramount importance as the mapping can significantly impact on the end-to-end QoS in the integrated network. In this paper, we present a novel and efficient mapping algorithm to map different TSN traffic flows to 5G QoS flows. To the best of our knowledge, this is the first QoS-aware mapping algorithm based on the application constraints used to exchange flows between TSN and 5G network domains. We evaluate the proposed mapping algorithm on synthetic scenarios with random sets of constraints on deadline, jitter, bandwidth, and packet loss rate. The evaluation results show that the proposed mapping algorithm can fulfill over 90% of the applications' constraints.

Place, publisher, year, edition, pages
IEEE COMPUTER SOC , 2022. p. 220-227
Series
IEEE International Conference on Embedded and Real-Time Computing Systems and Applications, ISSN 1533-2306
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:mdh:diva-60673DOI: 10.1109/RTCSA55878.2022.00030ISI: 000877324400024Scopus ID: 2-s2.0-85141408527ISBN: 978-1-6654-5344-8 (print)OAI: oai:DiVA.org:mdh-60673DiVA, id: diva2:1712217
Conference
28th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications (RTCSA), Taipei, Taoiwan, 23-25 August, 2022
Available from: 2022-11-21 Created: 2022-11-21 Last updated: 2023-04-13Bibliographically 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
Computer Sciences

Search outside of DiVA

GoogleGoogle Scholar

doi
isbn
urn-nbn

Altmetric score

doi
isbn
urn-nbn
Total: 134 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