An Intelligent Call Admission Control Scheme for Quality of Service Provisioning in a Multi-traffic CDMA network

In Code Division Multiple Access (CDMA) mobile cellular network, quality of service (QoS) provisioning of diverse user applications is a great challenge due to scarcity of wireless radio resources and the different QoS requirements demanded by the users. An effective call admission control (CAC) algorithm is needed for optimization of existing resources and better admission control to improve the overall performance of the cellular network system. Realizing that interference is caused by users in own-cell and other-cell which brings about the near-far effect causing some calls to be blocked/dropped, we set a signal-tointerference-noise ratio threshold (SINR) target for calls. For a multi-traffic wireless network, call blocking probability as a QoS metric should be reduced to the barest minimum. In this paper, an intelligent admission control model based on fuzzy logic is proposed to handle the imprecision and uncertainty surrounding the different classes of traffic for both real time and non-real time applications. Thus, the admission decision is expected to admit a higher number of service requests while at the same time guaranteeing the required QoS for every active connection. Three classes of traffic with different QoS requirements were considered in the proposed model. The accuracy of the model is validated through simulations in MATLAB and the results are satisfactory depicting the effectiveness of fuzzy logic in an intelligent call admission control scheme.