Nokia and Vodafone start using machine learning to detect network defects

News Wireless Europe 20 JUL 2021
Nokia and Vodafone start using machine learning to detect network defects

Nokia and Vodafone said they have partnered to jointly develop a new machine learning (ML) system designed to detect and remediate network anomalies before they impact customers. Based on Nokia’s Bell Labs algorithm, the Anomaly Detection Service product runs on Google Cloud and is already being rolled out across Vodafone’s pan-European network. 

In a joint statement, the partners said the ML system quickly detects and troubleshoots irregularities, such as mobile site congestion and interference, as well as unexpected latency, that may have an impact on customer service quality. Following an initial deployment in Italy on more than 60,000 LTE cells, Vodafone said it will be extending the service to all its European markets by early 2022, and there are plans to eventually apply it on the company’s 5G and core networks.

Vodafone added that it expects that around 80 percent of all its anomalous mobile network issues and capacity demands to be automatically detected and addressed using Anomaly Detection Service. The operator’s deal with Nokia signed last year complements its recent six-year agreement with Google Cloud to jointly build integrated cloud-based capabilities backed by hubs of networking and software engineering expertise.


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