Mobile communication traffic is nonlinear and radom. It’s also often affected by all kinds of unexpected situations. Thus it’s even more difficult to give an accurate prediction using conventional predicting meth- ods when there’s frequent dramatic changes. Based on the special character of mobile communication traffic

using division and modeling method on traffic analysing and predicting is proved to have a better effect.