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Implementing Network Applications for 5G-Enabled Robots Through the 5G-ERA Platform

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Artificial Intelligence Applications and Innovations. AIAI 2023 IFIP WG 12.5 International Workshops (AIAI 2023)

Part of the book series: IFIP Advances in Information and Communication Technology ((IFIPAICT,volume 677))

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Abstract

Novel orchestration architectures for 5G networks have primarily focused on enhancing Quality of Service, yet have neglected to address Quality of Experience concerns. Consequently, these systems struggle with intent recognition and End-to-End interpretability, resulting in the possibility of suboptimal control policies being developed. The 5G-ERA project has proposed and demonstrated an AI-driven intent-based networking solution for autonomous robots to address this issue. Specifically, the proposed solution employs a workflow consisting of four tools - Action Sequence Generation, Network Intent Estimation, Resource Usage Forecasting, and OSM Control Policy Generation - to map an individual vertical action's intent to a global OSM control policy. The paper describes how the 5G-ERA platform enables the onboarding and control of 5G-enabled robots and how we demonstrate the platform’s capabilities through the project’s use cases.

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Acknowledgements

This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Grant Agreement No 101016681.

Author information

Authors and Affiliations

  1. eBOS Technologies Ltd., Arch. Makariou III and Mesaorias 1, 2090, Lakatamia, Nicosia, Cyprus

    Andreas Gavrielides & Marios Sophocleous

  2. Hellenic Telecommunications Organization (OTE) S.A., 99, Kifissias Avenue, 15124, Maroussi, Athens, Greece

    Christina C. Lessi

  3. WINGS ICT Solutions, Nea Smymi, 189, Siggrou Avenue, 17121, Athens, Greece

    George Agapiou

  4. Faculty of Information Technology, Brno University of Technology, Brno, Czech Republic

    Jakub Špaňhel

  5. School of Computer Science, University of Bedfordshire, Luton, UK

    Adrian Lendinez, Renxi Qiu & Dayou Li

Authors
  1. Andreas Gavrielides
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  2. Marios Sophocleous
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  3. Christina C. Lessi
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  4. George Agapiou
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  5. Jakub Špaňhel
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  6. Adrian Lendinez
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  7. Renxi Qiu
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  8. Dayou Li
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Corresponding author

Correspondence to Andreas Gavrielides .

Editor information

Editors and Affiliations

  1. University of Piraeus, Piraeus, Greece

    Ilias Maglogiannis

  2. Democritus University of Thrace, Xanthi, Greece

    Lazaros Iliadis

  3. Democritus University of Thrace, Xanthi, Greece

    Antonios Papaleonidas

  4. Hellenic Telecom Organization OTE, Athens, Greece

    Ioannis Chochliouros

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Gavrielides, A. et al. (2023). Implementing Network Applications for 5G-Enabled Robots Through the 5G-ERA Platform. In: Maglogiannis, I., Iliadis, L., Papaleonidas, A., Chochliouros, I. (eds) Artificial Intelligence Applications and Innovations. AIAI 2023 IFIP WG 12.5 International Workshops. AIAI 2023. IFIP Advances in Information and Communication Technology, vol 677. Springer, Cham. https://doi.org/10.1007/978-3-031-34171-7_4

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  • DOI: https://doi.org/10.1007/978-3-031-34171-7_4

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-34170-0

  • Online ISBN: 978-3-031-34171-7

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