Social-Aware Forecasting for Cellular Networks Metrics

It has been long established that crowds generated by social events (e.g., sports matches, parades, fairs...) produce a high impact on cellular network service. However, to estimate such an impact, it is necessary use data sources classically outside the mobile operator control. In this way, and following social-aware approach, forecasting mechanisms should be able combine both information obtain reliable predictions. To end, present work develops complete system for its in prediction of metrics connections, throughput...). The performance proposed solution evaluated real network, showing capabilities approach provide accurate forecasting.