Abstract
This paper presents a new QoS management scheme for wireless ATM networks using the large deviation concepts. We consider an ATM network, and assume that all switches are modeled by stochastic servers fed by sets of parallel buffers. The dynamics of such systems evolve in discrete-time using an on demand processor sharing (ODPS) discipline that we introduce. The arrival process in each buffer is an arbitrary stochastic process. Using an extension of the large deviation theory, we developed predictive techniques that allow the management of QoS in the presence of mobiles. Our approach is based on the determination of overflow probabilities. The proposed scheme has important applications for QoS management in wireless ATM networks.
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