Forecasting Traffic Volumes for Intelligent Telecommunication Services Based on Service Characteristics (Special Issue on the Latest Development of Telecommunication Research)

概要

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A method is proposed for deriving a traffic characteristics model that can be used to forecast the traffic volume for intelligent telecommunication services. A sort of regression analysis with dummy variables is used to represent the service quantitatively and to construct the traffic characteristics model. Recursive least squares estimation, which is a special case of the Kalman filter, is applied to the traffic characteristics model to forecast the traffic volume. In the proposed modeling and forecasting, qualitative factors representing a certain service attribute are selected and using an information criterion, the model with the best fit is identified as the most suitable forecasting model. Numerical results using practical observation data showed that the proposed method produces an accurate forcast and is thus effective for paractical use.
社団法人電子情報通信学会の論文
1998-12-25