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AI-Driven Zero Touch Network and Service Management in 5G and Beyond: Challenges and Research Directions.
- Source :
-
IEEE Network . Mar/Apr2020, Vol. 34 Issue 2, p186-194. 9p. - Publication Year :
- 2020
-
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. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 08908044
- Volume :
- 34
- Issue :
- 2
- Database :
- Academic Search Index
- Journal :
- IEEE Network
- Publication Type :
- Academic Journal
- Accession number :
- 142612751
- Full Text :
- https://doi.org/10.1109/MNET.001.1900252