Title :
Wireless traffic modeling and prediction using seasonal ARIMA models
Author :
Shu, Yantai ; Yu, Minfang ; Liu, Jiakun ; Yang, Oliver W W
Author_Institution :
Tianjin Univ., China
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.
Keywords :
autoregressive moving average processes; cellular radio; telecommunication traffic; GSM traffic; Global System for Mobile Communication; auto regressive integrated moving average; network traffic stream; prediction; seasonal ARIMA model; wireless traffic modeling; Communication system traffic control; Design engineering; GSM; Genetic expression; Mobile handsets; Predictive models; Statistics; Telecommunication traffic; Traffic control; Wireless networks;
Conference_Titel :
Communications, 2003. ICC '03. IEEE International Conference on
Print_ISBN :
0-7803-7802-4
DOI :
10.1109/ICC.2003.1203886
