Intelligent call admission control for differentiated QoS provisioning in wideband CDMA cellular systems

Abstract

In this paper, we propose intelligent call admission control for wideband CDMA cellular systems to support differentiated QoS requirements. The intelligent call admission controller (ICAC) adopts fuzzy and neural network techniques to make admission decision for a new call request by considering the QoS measures of all service types, predicted next-step existing-call interference, and estimated new-call interference. It contains a fuzzy call admission processor, a pipeline recurrent neural network (PRNN) interference predictor, and a fuzzy equivalent interference estimator. Simulation results indicate that ICAC attains better performance in keeping QoS guaranteed, blocking probability and admitted number of users. Furthermore, ICAC is more adaptive and stable than SIR-based CAC in wideband CDMA cellular systems.