Time series-based localized predictive resource reservation for handoff in multimedia wireless networks

This paper presents a new method for predicting resource requirements of future handoff calls in multimedia wireless IP networks. It allows call arrivals to be non-Poisson and non-stationary and calls to have arbitrary bandwidth needs. Statistical models, based on time series forecasting theory, that utilize only local information are developed. Our simulations show that the proposed method achieves close correlation between predicted and actual handoff resource demands even when demands fluctuate rapidly over a wide range. Furthermore, it can generate accurate dynamic reservation levels to provide quality/grade of service guarantees for handoff calls. The approach is simple and can be implemented easily.