A novel behavior-based prediction dynamic model for mobility management

In mobile communication system, moving terminals have to switch to the network access points frequently due to the flexible mobility of Mobile Station (MS). How to provide an efficient low-cost and real-time service for MS is an important subject of mobility management. Different from the traditional static location management model, a novel dynamic model, based on prediction of users behavior, is promoted with the behavior-based prediction (BBP) algorithm which predicting the probable path of MS accordance with the location records measured beforehand by using the linear fitting method. The ellipse shape covers a potential location area, while changing the size of location area according to the paging frequency. Mobile users are classified into six types in the simulation scenario, the simulation results prove the BBP dynamic model gains higher performance, which is obviously reducing cost of location management rather than the traditional scheme.