AI Driven Zero Touch Network and Service Management in 5G and Beyond: Challenges and Research Directions
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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