Publication
Title
Orchestration procedures for the network intelligence stratum in 6G networks
Author
Abstract
The quest for autonomous mobile networks introduces the need for fully native support for Network Intelligence (NI) algorithms, typically based on Artificial Intelligence tools like Machine Learning, which shall be gathered into a NI stratum. The NI stratum is responsible for the full automation of the NI operation in the network, including the management of the life-cycle of NI algorithms, in a way that is synergic with traditional network management and orchestration framework. In this regard, the NI stratum must accommodate the unique requirements of NI algorithms, which differ from the ones of, e.g., virtual network functions, and thus plays a critical role in the native integration of NI into current network architectures. In this paper, we leverage the recently proposed concept of Network Intelligence Orchestrator (NIO) to (i) define the specific requirements of NI algorithms, and (ii) discuss the procedures that shall be supported by an NIO sitting in the NI stratum to effectively manage NI algorithms. We then (iii) introduce a reference implementation of the NIO defined above using cloud-native open-source tools.
Language
English
Source (journal)
Networks and Communications (EuCNC), European Conference on
Source (book)
Joint European Conference on Networks and Communications / 6G Summit, (EuCNC/6G Summit), JUN 06-09, 2023, Gothenburg, SWEDEN
Publication
New york : Ieee , 2023
ISBN
979-83-503-1102-0
DOI
10.1109/EUCNC/6GSUMMIT58263.2023.10188297
Volume/pages
(2023) , p. 347-352
ISI
001039230700068
Full text (Publisher's DOI)
Full text (open access)
Full text (publisher's version - intranet only)
UAntwerpen
Faculty/Department
Research group
Project info
IMEC-Network intelligence for adaptive and self-learning mobile networks (DAEMON).
Publication type
Subject
Affiliation
Publications with a UAntwerp address
External links
Web of Science
Record
Identifier
Creation 02.10.2023
Last edited 12.10.2023
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