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Towards Intelligent Industry 4.0 5G Networks: A First Throughput and QoE Measurement Campaign
Lund University, Sweden.
RISE Research Institutes of Sweden, Digital Systems, Prototyping Society.
RISE Research Institutes of Sweden.
RISE Research Institutes of Sweden, Digital Systems, Industrial Systems. Mid Sweden University, Sweden.ORCID iD: 0000-0001-5060-9402
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2020 (English)In: 2020 28th International Conference on Software, Telecommunications and Computer Networks, SoftCOM 2020, Institute of Electrical and Electronics Engineers Inc. , 2020, article id 9238299Conference paper, Published paper (Refereed)
Abstract [en]

5G promises to usher in the industrial 4.0 era. In that era, intricately managed autonomous industrial sites with for example remotely controller equipment and autonomous units promise previously unseen levels of efficiency. Although such scenarios are elusive, they come with strict long-since established safety requirements. To uphold such requirements, intelligent industrial 5G networks, that actively take into account prevailing conditions and dynamics of the workers on the site, the equipment, and the network, are needed. Little is known about the dynamics of actual industrial 5G networks and the interplay between network performance and QoE. In this paper, as a step towards intelligent industrial 5G networks, we measure network performance for an industrial 5G network, and conduct QoE experiments with remote controlled industrial equipment on an operational site. The results revealed unexpected relationships between QoE and network performance that shows how important domain-specific knowledge is when researching intelligent industrial 5G networks.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers Inc. , 2020. article id 9238299
Keywords [en]
5G, Industry 4.0, Intelligent networks, network performance, QoE, remote controlled vehicles, throughput, Computer networks, Controllers, Queueing networks, Remote control, Controller equipments, Domain-specific knowledge, G-networks, Industrial equipment, Industrial sites, Measurement campaign, Safety requirements, 5G mobile communication systems
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:ri:diva-50976DOI: 10.23919/SoftCOM50211.2020.9238299Scopus ID: 2-s2.0-85096583685ISBN: 9789532900996 (print)OAI: oai:DiVA.org:ri-50976DiVA, id: diva2:1509612
Conference
28th International Conference on Software, Telecommunications and Computer Networks, SoftCOM 2020, 17 September 2020 through 19 September 2020
Note

Funding details: NordForsk; Funding details: Stiftelsen för Strategisk Forskning, SSF; Funding details: HI2OT; Funding details: Knut och Alice Wallenbergs Stiftelse; Funding text 1: This work was partially supported by the Wallenberg AI, Autonomous Systems and Software Program (WASP) funded by the Knut and Alice Wallenberg Foundation, the SEC4FACTORY project, funded by the Swedish Foundation for Strategic Research (SSF), and the 5G PERFECTA Celtic Next project funded by Sweden’s Innovation Agency (VIN-NOVA). The authors are are part of the Excellence Center at Linköping-Lund on Information Technology (ELLIIT), the Nordic University Hub on Industrial IoT (HI2OT) funded by NordForsk, and the SSF Time Critical Clouds project.

Available from: 2020-12-14 Created: 2020-12-14 Last updated: 2023-05-25Bibliographically approved

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Brunnström, KjellRao, AkhilaSteinert, Rebecca

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