University of Oulu

C. Benzaid and T. Taleb, "AI-Driven Zero Touch Network and Service Management in 5G and Beyond: Challenges and Research Directions," in IEEE Network, vol. 34, no. 2, pp. 186-194, March/April 2020, doi: 10.1109/MNET.001.1900252

AI-driven zero touch network and service management in 5G and beyond : challenges and research directions

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Author: Benzaïd, Chafika1; Taleb, Tarik1,2,3
Organizations: 1Aalto University, Espoo, Finland
2University of Oulu, Oulu, Finland
3Sejong University, Seoul, South Korea
Format: article
Version: accepted version
Access: open
Online Access: PDF Full Text (PDF, 0.8 MB)
Persistent link: http://urn.fi/urn:nbn:fi-fe2020110288926
Language: English
Published: Institute of Electrical and Electronics Engineers, 2020
Publish Date: 2020-11-02
Description:

Abstract

The foreseen complexity in operating and managing 5G and beyond networks has propelled the trend toward closed-loop automation of network and service management operations. To this end, the ETSI Zero-touch network and Service Management (ZSM) framework is envisaged as a next-generation management system that aims to have all operational processes and tasks executed automatically, ideally with 100 percent automation. Artificial Intelligence (AI) is envisioned as a key enabler of self-managing capabilities, resulting in lower operational costs, accelerated time-tovalue and reduced risk of human error. Nevertheless, the growing enthusiasm for leveraging AI in a ZSM system should not overlook the potential limitations and risks of using AI techniques. The current paper aims to introduce the ZSM concept and point out the AI-based limitations and risks that need to be addressed in order to make ZSM a reality.

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Series: IEEE network
ISSN: 0890-8044
ISSN-E: 1558-156X
ISSN-L: 0890-8044
Volume: 34
Issue: 2
Pages: 186 - 194
Article number: 8994961
DOI: 10.1109/MNET.001.1900252
OADOI: https://oadoi.org/10.1109/MNET.001.1900252
Type of Publication: A1 Journal article – refereed
Field of Science: 213 Electronic, automation and communications engineering, electronics
Subjects:
Funding: This work was supported in part by the Academy of Finland Project 6Genesis Flagship (Grant No. 318927), CSN (Grant No. 311654) and the European Union’s Horizon 2020 research and innovation programme under the INSPIRE-5Gplus project (Grant No. 871808).
Academy of Finland Grant Number: 318927
Detailed Information: 318927 (Academy of Finland Funding decision)
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