Location prediction of mobility management using neural network techniques in cellular network

Abstract

This work describes the neural network technique to solve location management problem. A multilayer neural model is designed to predict the future prediction of the subscriber based on the past predicted information of the subscriber. In this paper a prediction based location management scheme is proposed for locating a mobile terminal in a communication without losing quality maintain a good response. There are various methods of location management schemes for prediction of the mobile user. Based on individual characteristic of the user, prediction based location management can be implemented. This work is purely analytical which need the past movement of the subscriber. The movement of the mobile target is considered as regular and uniform. An artificial neural network model is used for mobility management to reducing the total cost. Single or multiple mobile targets can be predicted. Among all the neural techniques multilayer perceptron is used for this work. The records is collected from the past movement and is used to train the network for the future prediction. The analytical result of the prediction method is found to be satisfactory.