AI-Driven Zero Touch Network and Service Management in 5G and Beyond: Challenges and Research Directions
AI-Driven Zero Touch Network and Service Management in 5G and Beyond: Challenges and Research Directions
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DOI：
10.1109/mnet.001.1900252
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发表时间：
2020-03-01
期刊：
影响因子：
9.3
通讯作者：
Taleb, Tarik
中科院分区：
文献类型：
--
作者：
Benzaid, Chafika;Taleb, Tarik
运营和管理5G及其他网络的可预见的复杂性推动了网络和服务管理运营的闭环自动化趋势。为此，ETSI零接触网络和服务管理（ZSM）框架被设想为下一代管理系统，旨在自动执行所有操作流程和任务，理想情况下是100%自动化。人工智能（AI）被视为自我管理能力的关键推动因素，从而降低运营成本，加速价值实现并降低人为错误的风险。尽管如此，在ZSM系统中利用人工智能的热情越来越高，但不应忽视使用人工智能技术的潜在限制和风险。本文旨在介绍ZSM概念，并指出为了使ZSM成为现实，需要解决的基于AI的限制和风险。
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.