Wireless traffic modeling and prediction using seasonal ARIMA models

Abstract

Seasonal ARIMA model is a good traffic model capable of capturing the behavior of a network traffic stream. In this paper, we give a general expression of seasonal ARIMA models with two periodicities and provide procedures to model and to predict traffic using seasonal ARIMA models. Our feasibility study experiments showed that seasonal ARIMA models could be used to model and predict actual wireless traffic such as GSM traffic in China.