MOBILITY MODELING, LOCATION TRACKING, AND TRAJECTORY PREDICTION IN WIRELESS ATM NETWORKS

Wireless ATM networks require efficient mobility management to cope wi th frequent mobile handoff and rerouting of connections. Although much attention has been given in the literature to network architecture de sign to support wide-area mobility in public ATM networks, little has been done to the important issue of user mobility estimation and predi ction to improve the connection reliability and bandwidth efficiency o f the underlying system architecture. This paper treats the problem by developing a hierarchical user mobility model that closely represents the movement behavior of a mobile user, and that, when used with appr opriate pattern matching and Kalman filtering techniques, yields an ac curate location prediction algorithm, HLP, or hierarchical location pr ediction, which provides necessary information for advance resource re servation and advance optimal route establishment in wireless ATM netw orks.