Abstract
In this paper a mobility-based predictive scheme for call admission control (CAC) and resource reservation (RR) is proposed. The main goal is to reduce the call dropping probability and the call blocking probability and to maximize the bandwidth utilization. Mining the previous movements of the mobile users, generates local and global profiles, which are utilized effectively in prediction of the future path of the mobile user. This scheme is based on high level of prediction of the next base stations for the mobile user. The simulation is used to compare the performance of the proposed technique with other two techniques: FR-CAT2 and PR-CAT4. Simulation results show that the proposed scheme has a significantly better performance (in average about 25%) compared to the other two schemes.
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Rashad, S., Kantardzic, M., Kumar, A. (2004). A Data Mining Approach for Call Admission Control and Resource Reservation in Wireless Mobile Networks. In: Perner, P. (eds) Advances in Data Mining. ICDM 2004. Lecture Notes in Computer Science(), vol 3275. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30185-1_15
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DOI: https://doi.org/10.1007/978-3-540-30185-1_15
Publisher Name: Springer, Berlin, Heidelberg
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