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Present generation cellular networks provide different services to the mobile users. The movement of the users is highly dependent on individual characteristics. To offer an uninterrupted service to the mobile users, continuous tracking of its location is very important. This can be achieved by the proper location management schemes. In this paper, a prediction-based location management scheme for locating a mobile station is proposed. A multilayer neural network model for mobile movement prediction is designed to predict the future movement of a mobile host. The model is trained with the data obtained from the past movement pattern of a mobile host. The prediction method is found to give satisfactory results.
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