Přístupnostní navigace
E-application
Search Search Close
Publication detail
SOPHOCLEOUS, M. LESSI, C. XU, Z. ŠPAŇHEL, J. QIU, R. LENDINEZ, A. CHONDROULIS, I. BELIKAIDIS, I.
Original Title
AI-driven intent-based networking for 5G enhanced robot autonomy
Type
conference paper
Language
English
Original 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.
Keywords
5G, Intent-based networking, Enhanced robot autonomy, 5G-ERA, Machine Learning, Semantic models, autonomous robots
Authors
SOPHOCLEOUS, M.; LESSI, C.; XU, Z.; ŠPAŇHEL, J.; QIU, R.; LENDINEZ, A.; CHONDROULIS, I.; BELIKAIDIS, I.
Released
4. 4. 2022
Publisher
Springer Nature Switzerland AG
Location
Cham
ISBN
1868-422X
Periodical
IFIP Advances in Information and Communication Technology
Year of study
652
Number
2022
State
unknown
Pages from
61
Pages to
70
Pages count
10
BibTex
@inproceedings{BUT182277, author="Marios {Sophocleous} and Christina {Lessi} and Zhao {Xu} and Jakub {Špaňhel} and Renxi {Qiu} and Adrian {Lendinez} and Ioannis {Chondroulis} and Ioannis {Belikaidis}", title="AI-driven intent-based networking for 5G enhanced robot autonomy", booktitle="AIAI 2022 IFIP WG 12.5 International Workshops", year="2022", series="IFIP Advances in Information and Communication Technology", journal="IFIP Advances in Information and Communication Technology", volume="652", number="2022", pages="61--70", publisher="Springer Nature Switzerland AG", address="Cham", doi="10.1007/978-3-031-08341-9\{_}6", issn="1868-422X" }