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An Analytical framework for Call Admission Control in Heterogeneous Wireless Networks


Ramesh Babu H.S., Gowrishankar, Satyanarayana P.S.


Vol. 9  No. 10  pp. 162-166


It is envisaged that the Next generation wireless network (NGWN) will be heterogeneous where different radio access technologies (RATs) operate together .The mobile terminals operating in this heterogeneous environment will have different quality of service requirements to be handled by the system. The radio resource management is one of the key challenge in NGWN.Call admission control is one of the radio resource management technique plays instrumental role in ensure the desired quality of service (QoS) to the users working on different applications which have diversified nature of QoS requirements from the wireless networks . In wireless network the Bandwidth is one of the important resources of the network. In the wireless networks this resource is alienated into channels and is used by the network users which include the existing users and new users. One of the key challenges to be addressed in this prevailing scenario is the distribution of the available channel capacity among the multiple traffic with different bandwidth requirements so as to guarantee then QoS requirements of the traffic .The call blocking probability is one such QoS parameter for the wireless network. For better QoS it is desirable to reduce the call blocking probability. In this customary scenario it is highly desirable to obtain analytic Performance model. The Stochastic Petri Net (SPN) based Performance model has been developed to verify the efficiency and accuracy of analytic Performance model. In this paper we propose an optimal call admission control algorithm to reduce call blocking probability in NGWN and provides optimal QoS to the mobile users. In the proposed algorithm we have considered three classes of traffic having different QoS requirements. . The results obtained from both the Performance models are optimistic.


Radio resource management, call admission control, call blocking probability, QoS