A Mobility Prediction Scheme with a Call Admission Control in Wireless Cellular Network

摘要

A new prediction scheme is developed with the support of the Data Mining technique. Based on the mobility prediction, the bandwidth is reserved for the paths with the maximum support, so that the service of the handoff calls can be guaranteed. The Steps Forward with Distance Algorithm (SFDA) uses two criteria, the one of support and the other of distance, and finds the most favorite user path. Moreover, the time factor for each move is also taken into account. For taking global information of the cells at the congestion periods, a centralized collaborative system between nodes and BSs is developed. First, the BSs send the initial information for each user to the nodes. Then the nodes elaborate (using temporal databases techniques), create and give back the new aggregate bandwidth demand information, for each cell to the BS enabling them regulate the service priority. A Call Admission Control (CAC) algorithm is developed for each cell according to the reservation operation in order to minimize the call dropping probability and increase the resource utilization. We are concerned only about the system behavior at exceptional congestion time periods (periodical events), given that it works smoothly on normal daily basis. Simulation results are provided.