A Generalized Channel Preemption Model for Multiclass Traffic in Mobile Wireless Networks

Abstract

This paper presents a generalized channel preemption model (GCPM) for multiclass traffic in mobile wireless networks. In the proposed model, a mobile call is identified by four parameters - call type, traffic class, channel requirement, and preemption ratio - in which different classes of traffic can have different priority levels. To effectively reduce dropping probability, high-priority handoff calls are allowed to fully or partially preempt low-priority ongoing calls when the mobile network becomes congested. A fully preempted call can be completely disconnected, whereas a partially preempted call can still communicate with certain degree of quality-of-service degradation. We introduce an analytical model with multidimensional Markov chains. In the model, a cost function, which is expressed as a weighted sum of the ongoing calls to be preempted and the bandwidth reduction rate in the preempted calls, is defined to select candidate calls from a certain traffic class. The statistical result from the model allows us to tune the parameters of the GCPM to support high-priority handoff calls and therefore offers new insights in understanding the tradeoffs in supporting multiclass traffic.