Publication Details

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

SOPHOCLEOUS Marios, LESSI Christina, XU Zhao, ŠPAŇHEL Jakub, QIU Renxi, LENDINEZ Adrian, CHONDROULIS Ioannis and BELIKAIDIS Ioannis. AI-driven intent-based networking for 5G enhanced robot autonomy. In: AIAI 2022 IFIP WG 12.5 International Workshops. IFIP Advances in Information and Communication Technology, vol. 652. Cham: Springer Nature Switzerland AG, 2022, pp. 61-70. ISSN 1868-422X.
Czech title
Síťování založené na záměru pro vylepšenou autonomii robotů v 5G sítích řízené AI
Type
conference paper
Language
english
Authors
Sophocleous Marios, Dr. (eBOS)
Lessi Christina, M.Sc. (OTE)
Xu Zhao (NECLab)
Špaňhel Jakub, Ing. (DCGM FIT BUT)
Qiu Renxi, Dr. (UBED)
Lendinez Adrian, BSc (UBED)
Chondroulis Ioannis (WINGS)
Belikaidis Ioannis, Ph.D. (WINGS)
Keywords

5G, Intent-based networking, Enhanced robot autonomy, 5G-ERA, Machine Learning, Semantic models, autonomous robots

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 intent-based networking for autonomous robots is being 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.

Published
2022
Pages
61-70
Journal
IFIP Advances in Information and Communication Technology, vol. 652, no. 2022, ISSN 1868-422X
Proceedings
AIAI 2022 IFIP WG 12.5 International Workshops
Series
IFIP Advances in Information and Communication Technology
Conference
18th International Conference on Artificial Intelligence Applications and Innovations, Crete, GR
Publisher
Springer Nature Switzerland AG
Place
Cham, CH
DOI
10.1007/978-3-031-08341-9_6
EID Scopus
2-s2.0-85133263129
BibTeX 
@INPROCEEDINGS{FITPUB12721,
   author = "Marios Sophocleous and Christina Lessi and Zhao Xu and Jakub \v{S}pa\v{n}hel and Renxi Qiu and Adrian Lendinez and Ioannis Chondroulis and Ioannis Belikaidis",
   title = "AI-driven intent-based networking for 5G enhanced robot autonomy",
   pages = "61--70",
   booktitle = "AIAI 2022 IFIP WG 12.5 International Workshops",
   series = "IFIP Advances in Information and Communication Technology",
   journal = "IFIP Advances in Information and Communication Technology",
   volume = 652,
   number = 2022,
   year = 2022,
   location = "Cham, CH",
   publisher = "Springer Nature Switzerland AG",
   ISSN = "1868-422X",
   doi = "10.1007/978-3-031-08341-9\_6",
   language = "english",
   url = "https://www.fit.vut.cz/research/publication/12721"
}
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