AI-driven zero touch network and service management in 5G and beyond : challenges and research directions
Benzaïd, Chafika; Taleb, Tarik (2020-02-12)
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
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https://urn.fi/URN:NBN:fi-fe2020110288926
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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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