Handoff resource prediction in multimedia wireless networks

This paper presents a local-based approach for predicting handoff resources in multimedia wireless networks, where the underlying prediction mechanism is the recursive least-squares (RLS) algorithm. Performance of the proposed handoff resource prediction scheme is evaluated for a multimedia wireless network characterized by various handoff traffic conditions, different bandwidth requirements, and general call and channel holding time distributions. The accuracy of handoff resource prediction is measured in terms of a mean-square-error metric. Results from performance evaluation show that the proposed RLS-based scheme has better resource prediction accuracy than Wiener-filter and autoregressive (AR) processes. It is shown that the proposed RLS-based handoff resource prediction scheme achieves capacity gains of up to 60% and 23% compared to the Wiener- and AR-based schemes, respectively.