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The Call Admission Control (CAC) is a Radio Resource Management (RRM) technique that plays instrumental role in ensuring the desired Quality of Service (QoS) to the users working on different applications with diversified QoS requirements in Next Generation Wireless Networks (NGWN). This paper proposes an Analytical system model and the Stochastic Activity Network (SAN) based performance model and an intelligent fuzzy neural model for call admission control for a multi class traffic based Next Generation Wireless Networks. The performance study is made between the analytical model and SAN model.
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