LTE Cell Traffic Grow and Congestion Forecasting

Abstract

Recent popularity grow of predictive analysis is growing in many fields. Importance to forecast mobile traffic for each LTE cell can bring mobile network planning advantages for the operator. It can help operators to spend minimum investing for new sites and cells but be able to guarantee excellent service experience for mobile broadband users. In this paper study of mobile traffic forecasting feasibility using fbProphet algorithm developed by Facebook is presented. Target is to have short term forecasting from which the operator can proactively consider network expansion if the load is too high to satisfy user throughput demands. Five months of daily traffic data used to train model and one month used for forecasting and model testing. Also, 30 days of hourly data were used for busy hour traffic forecasting. In the last part relation between data traffic carried in the LTE cell to cell load explained.