Future location prediction of mobile subscriber over mobile network using Intra Cell Movement pattern algorithm

Location based services (LBS) and their applications are one of the most growing services based on wireless communication systems. Future location prediction of mobile user results in a great enhancement of both LBS applications and mobile network performance. Many researches are developed to predict the future location of mobile user. In this paper we proposed a new method, Intra Cell Movement Prediction (ICMP), for mobile user´s future location prediction based on mobile network platform to benefit from both intra and inter cell based techniques for network and services enhancement. The proposed method depends on map based intra-cell prediction and utilizes the network database and positioning techniques in extracting user trajectories and movement rules. As a result, the position of the next movement of mobile subscriber can be predicted. The performance of the proposed algorithm is evaluated through computer simulation and compared with that of [1] and [2]. The simulation results indicate that the proposed method is highly efficient for both network and services´ improvements as it is used to enhance location based services with satisfactory accuracy, network´s resource utilization, reduce the latency in accessing resources and mobility management.