engleski

Emergency Services: Resource Management and QoS Control

Abstract-This work presents an approach to QoS control in emergency situations. Prediction of resource demand for future handoff calls in multimedia wireless IP networks is based on application of multi-input-multi-output (MIMO) multiplicative ARIMA (p, d, q)x(P, D, Q)S models fitted to the traffic data measured in the considered cell itself, and on the new call admission control algorithm that simultaneously maximizes the system throughput while keeping the handoff call dropping probability below the targeted value. The main advantages of the proposed approach are the following: first, the proposed multivariable prediction method gives on average better predictions (i.e. narrower prediction confidence interval) for realistic traffic situations, which results in lower new call blocking probability at the targeted handoff call dropping probability and second, the model is simple to implement since it does not require communication among the adjacent cells. Simulation results show the superiority of the proposed MIMO prediction approach combined with the proposed call admission control algorithm for some typical non-stationary situations in comparison with univariate models.

Emergency services; Resource management; QoS Control

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