Paper Info
Title
AI-Driven Zero Touch Network and Service Management in 5G and Beyond: Challenges and Research Directions
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.
Year
DOI
Venue
2020
10.1109/MNET.001.1900252
IEEE Network
Keywords
DocType
Volume
5G mobile communication, Automation, Artificial intelligence, Network slicing, Cognition
Journal
34
Issue
ISSN
Citations 
2
0890-8044
13
PageRank 
References 
Authors
0.78
0
2
Name
Order
Citations
PageRank
Chafika Benzaid15413.06
Tarik Taleb23111237.91