MegaFon and NEC this week announced the successful completion of AI technology field tests in MegaFon's live network in order to improve the efficiency of planning and maintenance of transport network resources.
Tests were conducted in MegaFon Ural's network from October to November 2017, where NEC's AI algorithms carried out analysis of 150 radio links that are considered the most critical from a network construction standpoint.
During the verification tests, NEC and MegaFon jointly confirmed the effectiveness of the two key features - Demand Forecast and Preventive Maintenance, using NEC's AI technologies, "NEC the WISE".
Demand Forecast enables timely planning of transport network resources through accurate prediction of network traffic. During the tests, this service boasted an accuracy of over 97% for traffic prediction against actual traffic, said NEC. This enables more efficient planning of transport network capacity expansion and helps to reduce expenses for unnecessary infrastructure, while also reducing losses from untimely procurement of equipment.
The Preventive Maintenance feature provides optimal maintenance schedules according to packet loss prediction. The feature accurately predicts packet loss figures several months in advance for each network device and identifies those that are likely to cause disruptions in services. By leveraging this service, MegaFon will be able to prioritize the maintenance of potentially faulty devices, said NEC.
Anton Sherbakov, Technical Director, MegaFon Ural
Through analytics of big volumes of data with NEC's AI technologies, ‘NEC the WISE,' we have verified that significant improvements can be achieved for the planning and operation of transport networks, resulting in more effective use of resources and providing the highest quality services to millions of subscribers.
Hiroshi Kawada, MD, CJSC NEC Communications Systems
We are very pleased to see our services streamline and optimize MegaFon's network without the need to expend additional resources.
