Mobility prediction for dynamic location area in cellular network using super vector regression

Abstract

Mobility Prediction of Mobile Users in a cellular network is one of the burning issues. Once the Mobile Users location is properly predicted using mobility prediction methods in the cellular network then service-related problems can be resolved. Super Vector Regression (SVR) method is one of the methods using which mobility prediction of mobile users is possible. SVR method predicts the mobility of mobile device in cellular network better than other mobility prediction methods. SVR gives a better result for reducing location management cost by creating dynamic location area for Mobile Users. This dynamic location area is increasing prediction accuracy of Mobile Users using SVR method.