Flexible Tracking Area List Forming Registration Scheme based on Movement Direction Prediction in Mobile Communication Networks

Abstract

To reduce the signaling traffic required to manage user’s mobility in mobile communications networks, the flexible tracking area list (TAL) forming registration scheme was previously proposed by predicting the direction of movement. In the scheme, using the mobility prediction and variable TAL forms, the new TAL is constructed such that the registration cost can be minimized. In this paper, the semi-Markov process model is newly presented for the flexible TAL forming registration scheme assuming urban environments. Simulation results are also compared with the analytical studies. Numerical results show that the analytical and simulation results are very similar (average relative error of 1.4%), and the registration cost decreases as the moving probability (q) to the predicted direction increases. By comparing the performance of the proposed scheme with those of the existing distance-based registration (DBR), it is shown that the performance of proposed scheme could be found to improve by 9.99%. When call-to-mobility ratio is 1, the proposed scheme outperforms the DBR in case of q≥0.75.