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AI-driven intent-based networking for 5G enhanced robot autonomy

  • Marios Sophocleous
    ,
  • Christina C. Lessi
    ,
  • Zhao Xu
    ,
  • Jakub Špaňhel
    ,
  • Renxi Qiu
    ,
  • Adrian Lendinez Ibanez
  • eBOS Technologies Ltd.
    ,
  • Hellenic Telecommunications Organization S.A.
    ,
  • NEC Corporation
    ,
  • Brno University of Technology
    ,
  • WINGS ICT Solutions
Research Output: Chapter in Book/Report/Conference proceeding Conference contribution Peer-review

Abstract

Innovative 5G orchestration architectures so far, have been mainly designed and optimized for Quality of Service (QoS), but are not aware of Quality of Experience (QoE). This makes intent recognition and End-to-End interpretability an inherited problem for orchestration systems, leading to possible creation of ineffective control policies. In this paper, an AI-driven intent-based networking for autonomous robots is proposed and demonstrated through the 5G-ERA project. In particular, to map an intent from individual vertical action to a global OSM control policy, a workflow of four tools is proposed: i) Action Sequence Generation, ii) Network Intent Estimation, iii) Resource Usage Forecasting, and iv) OSM Control Policy Generation. All of these tools are described in the paper with specific function descriptions, inputs, outputs and the semantic models/Machine Learning tools that have been used. Finally, the paper presents the developed intent-based dashboard for the visualization of the tools’ outputs, whilst taking QoE into consideration.

Publication Information

Output type

Research Output: Chapter in Book/Report/Conference proceeding Conference contribution Peer-review

Original language

English

Pages from-to (Number of pages)

Pages 61-70 (10 pages)

Publication milestones

  • Published - 10/06/2022

Publication status

Published - 10/06/2022

Volume

652

Publisher

Springer, Japan, India, Australia, Germany, United States, United Arab Emirates, Austria, Switzerland, Italy, China, United Kingdom, Netherlands, Brazil, France, Singapore

Publication series

  • Publication series name: IFIP Advances in Information and Communication Technology
    ISSN (Print): 1868-4238
    ISSN (Electronic): 1868-422X
    Volume: 652 IFIP

ISBN (Print)

9783031083419

External Publication IDs

  • handle.net: 10547/626793
  • Scopus: 85133263129

Host publication title

Artificial Intelligence Applications and Innovations. AIAI 2022 IFIP WG 12.5 International Workshops - MHDW 2022, 5G-PINE 2022, AIBMG 2022, ML@HC 2022, and AIBEI 2022, Proceedings

Host publication editors

  • Ilias Maglogiannis
  • Lazaros Iliadis
  • John Macintyre
  • Paulo Cortez

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