AI-driven intent-based networking for 5G enhanced robot autonomy
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F22%3APU147263" target="_blank" >RIV/00216305:26230/22:PU147263 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-031-08341-9_6" target="_blank" >http://dx.doi.org/10.1007/978-3-031-08341-9_6</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-031-08341-9_6" target="_blank" >10.1007/978-3-031-08341-9_6</a>
Alternative languages
Result language
angličtina
Original language name
AI-driven intent-based networking for 5G enhanced robot autonomy
Original language description
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.
Czech name
—
Czech description
—
Classification
Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
—
Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
AIAI 2022 IFIP WG 12.5 International Workshops
ISBN
—
ISSN
1868-4238
e-ISSN
1868-422X
Number of pages
10
Pages from-to
61-70
Publisher name
Springer Nature Switzerland AG
Place of publication
Cham
Event location
Kréta
Event date
Jun 17, 2022
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
—