DocumentCode
3509136
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
Volume
3
fYear
2003
fDate
11-15 May 2003
Firstpage
1675
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Communications, 2003. ICC '03. IEEE International Conference on
Print_ISBN
0-7803-7802-4
Type
conf
DOI
10.1109/ICC.2003.1203886
Filename
1203886
Link To Document