NSN's Predictive Operations Forecasts Network Problems

Nokia Solutions and Networks is introducing a managed service for predicting mobile broadband service degradations up to two days in advance.

NSN's Predictive Operations service uses a self-learning analysis engine proven in other industry sectors and further developed and customized by NSN for a telecom operations environment. The engine evaluates a vast range of data that can include service quality, customer experience and other key performance indicators from the operator’s network, as well as external data such as weather forecasts and social media. When an abnormal pattern is detected, which can be up to 48 hours before subscribers would be affected, the service issues a predictive alert to NSN operations experts. They can then pinpoint the cause of the anomaly and take preventive action.

NSN said these capabilities can boost mobile broadband service quality by 15% for a better customer experience.

“Currently, most networks and service operations are run on a real-time basis. Predictive Operations goes a step further and anticipates potential  problems, down to the network element level, before they affect the subscriber. This capability is in line with a key goal of our Technology Vision 2020 – making networks self-aware,” said Amit Dhingra, head of Managed Services at NSN.

NSN is also introducing an LTE Service Management option that covers the entire lifecycle of mobile broadband services running on an operator’s LTE network, including service design, launch and monitoring. NSN Intelligent LTE service models provide an integrated view of all services across the LTE radio network, Evolved Packet Core (EPC), and transport networks. "Our new LTE Service Management offering, on the other hand, helps operators ensure the highest quality for such exacting services as mobile TV, video streaming and online gaming, which are sensitive to even small issues in underlying network performance.”

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