Local predictive resource reservation for handoff in multimedia wireless IP networks

This paper presents two new methods that use local information alone to pre dict the resource demands of and determine resource reservation levels for future handoff calls in multimedia wireless IP networks. The proposed metho ds model the instantaneous resource demand directly. This differs from most existing methods that derive the demands from modeling the factors that im pact the demands. As a result, the proposed methods allow new and handoff c alls to: 1) follow non-Poisson and/or nonstationary arrival processes; 2) h ave arbitrary per-call resource demands; and 3) have arbitrarily distribute d call and channel holding times. The first method is based on the Wiener p rediction theory and the second method is based on time series analysis. Ou r simulations show that they perform well even for non-Poisson and nonstati onary handoff call arrivals, arbitrary per-call bandwidth demands, and none xponentially distributed call and channel holding times. They generate clos ely comparable performance with an existing local method and an existing co llaborative method that uses information about mobiles in neighboring cells , under assumptions for which these other methods are optimized. The propos ed methods are much simpler to implement than most other existing methods w ith fewer capabilities.