MIMO ARIMA models for handoff resource reservation in multimedia wireless networks
This paper presents a new approach to prediction of resource demand for future handoff calls in multimedia wireless IP networks. Our approach is based on application of multi-input-multi-output (MIMO) multiplicative autoregressive-intearated-moving average (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 (CAC) algorithm that simultaneously maximizes the system throughput while keeping the handoff call dropping probability (CDP) below the targeted value. The C main advantages of the proposed approach are the following: first, the proposed multi-variable 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 (CBP) at the targeted handoff CDP 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 nonstationary situations in comparison with univariate models. Copyright (C) 2004 John Wiley Sons, Ltd.
arima models wireless networks call admission control minio models