A NETWORK TRAFFIC ESTIMATION SYSTEM

The present invention relates to a network traffic estimation system (1) which provides a solution architecture for estimating future network traffic via regression methods from machine learning approaches by looking at historical traffic data. The inventive network traffic estimation system (1) handles the traffic estimation as a machine learning regression problem. Current network performance indicators, network configuration planning information, planned activities, currently planned works, current network alarms, weather forecasts, current customer and future campaign information are kept on the database (2) on the basis of location/cell.