Vodafone Uses Machine Learning to Proactively Maintain Networks in Europe


Vodafone announced this week that it’s rolling out an Anomaly Detection Service (ADS) algorithm to “detect and correct anomalies [in their network] before they impact customers.” The new machine-learning algorithm was designed in conjunction with Nokia’s Bell Labs R&D division, reported ISPreview. 

“We are building an automated and programmable network that can respond quickly to our customers’ needs,” said Johan Wibergh, CTO of Vodafone. “As we extend 5G across Europe, it is important to match the speed and responsiveness of this new technology with a great service. With machine learning, we can ensure a consistently high-quality performance that is as smart as the technology behind it.”

The solution has already been deployed in Italy across more than 60,000 4G sites on a live network. Vodafone will introduce ADS on all of its U.K. and pan-European mobile networks via a Cloud platform by early 2022, reported ISPreview. 

ADS will detect whether 4G or 5G sites are showcasing “out of the ordinary behavior” such as network congestion, interference, unexpected latency, and difficulty in handling calls to ensure customers don’t experience an impact on the quality of service. 

According to ISPreview, ADS will allow engineers to proactively detect and correct issues before customers complain about service interruptions. Vodafone aims to detect and address 80 percent of all anomalous mobile network issues and capacity demands with ADS.

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