Wireless Traffic Modeling and Prediction Using Seasonal ARIMA Models

Yantai SHU
Minfang YU
Oliver YANG
Jiakun LIU
Huifang FENG

Publication
IEICE TRANSACTIONS on Communications   Vol.E88-B    No.10    pp.3992-3999
Publication Date: 2005/10/01
Online ISSN: 
DOI: 10.1093/ietcom/e88-b.10.3992
Print ISSN: 0916-8516
Type of Manuscript: PAPER
Category: Network
Keyword: 
traffic modeling,  prediction,  seasonal ARIMA models,  

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Summary: 
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. The experiments conducted in our feasibility study showed that seasonal ARIMA models can be used to model and predict actual wireless traffic such as GSM traffic in China.