Performance Analysis of Mobility Based Predictive Call Admission Control with Resource Reservation in WCDMA Cellular Systems

This paper presents performance of call admission control and resource reservation schemes in WCDMA cellular systems that has been developed based on assumptions more realistic than existing proposals. In order to guarantee the handoff dropping probability, the mobility of the user is predicted based on the mobility history of users. The mobility prediction scheme used in this work is based on computational learning theory, which has shown that prediction is synonymous with data compression. In order to utilize resource more efficiently, we predict not only the cell to which the mobile will handoff but also when the handoff will occur. Based on the mobility prediction, resource is reserved in terms of signal to interference ratio guard margin (SIRGM) to guarantee some target handoff dropping probability. The admission threshold is adaptively controlled to achieve a better balance between guaranteeing handoff dropping probability and maximizing resource utilization. Simulation results show that the mobility based resource reservation scheme outperforms the static-reservation scheme