Zero-touch AIOps in multi-operator 5G networks

Autor: Katherine Barabash ∗ Gino Carrozzo † Dean Lorenz ∗ Kalman Meth ∗ Shuaib M. Siddiqui
Jazyk: angličtina
Rok vydání: 2022
Předmět:
Zdroj: EUCNC 2021
DOI: 10.5281/zenodo.7438857
Popis: Automation and intelligence are key functionalities for implementing smart network management decisions in 5G/6G softwarised networks. In this work, we present the 5GZORRO approach for applying Artificial Intelligence to network operations (AIOps). The goal of the 5GZORRO AIOps is to implement truly zero-touch automation of operation and maintenance tasks in the specific context of multi-operator networks. The approach goes beyond the current state of the art of single domain 5G networks and paves the way to an evolution of Network management from 5G towards 6G. In this paper, we shortly cover the motivation, explain the technology, and show how heavily it relies on secure, reliable, and intelligent data collection, aggregation and processing. We put forward our assessment of domain specific requirements and challenges and introduce 5GZORRO Operational Data Lake, one of the major innovations towards fully automated multi-operator networks required for smooth progression into 6G.
Databáze: OpenAIRE