AI-driven Zero Touch Network and Service Management in 5G and Beyond: Challenges and Research Directions
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A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä
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en
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9
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IEEE Network, Volume 34, issue 2, pp. 186 - 194
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.Description
| openaire: EC/H2020/871808/EU//INSPIRE-5Gplus
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Benzaid, C & Taleb, T 2020, 'AI-driven Zero Touch Network and Service Management in 5G and Beyond: Challenges and Research Directions', IEEE Network, vol. 34, no. 2, pp. 186 - 194. https://doi.org/10.1109/MNET.001.1900252