Resource Reservation Based on Mobility Prediction in Personal Communication Systems

IEEE 802.11 Mobility of the users in Personal Communication systems gives rise to the problem of mobility management. Predictive reservation allows the reservation of resources for an ongoing call in the next cell, so that the call is sustained when the Mobile Station (MS) moves to the next cell. Mobility management covers the methods for storing and updating the location information. of the mobile users served by them. Mobility prediction thus becomes an inevitable process in mobility management. Mobility prediction is defined as the prediction of the mobile user’s next movement where the user is traveling between the cells of the network. By using the predicted movement,  the  system  can  effectively  allocate  resources  to  the  most  probable-to  move  cell instead of blindly allocating resources in the entire neighborhood of the cell. Mobility  prediction  based  on  data  mining  method  to  predict  the  mobile  user’s  next movement is implemented in this project. The method is based on mining the User Actual Paths to  discover  the  regularities  in  the  patterns,  extracting  mobility  rules  from  these  patterns  and finally, the matching rule, having the highest confidence plus support value corresponding to the current trajectory of the user, is used to predict the mobile user’s next cell movement. Through accurate  prediction,  the  system  can  reserve  resources  in  an  efficient  manner,  thus  leading  to improved resource utilization. The performance of the method is evaluated through simulation. The results obtained in each phase leading to more accurate prediction of the mobile user’s next cell movement have been presented.