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Next Generation Networks (NGN) are designed to support a wide range of applications with various Service Classes (SCs) guaranteeing the respective Quality of Service (QoS) levels. Since such networks is resource constrained, Call Admission Control (CAC) is imperative to achieve the required QoS levels. In this paper, a new probabilistic framework for CAC schemes is proposed based on controlling each SC independently by admitting low priority SC calls with a variable imposed probability. The incorporation of such a probabilistic framework is considered under a bandwidth-centric approach named Probabilistic Bandwidth Reservation Scheme (PBRS). Though equal service times are usually assumed in the literature, the present analysis considers SCs of different service times.
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