Measurement-based adaptive call admission control in heterogeneous traffic environment with virtual switches and neural networks

This paper proposes two methods which can improve the performance of adaptive call admission control with virtual switches, and compares the performance with other conventional methods in a heterogeneous traffic environment. Simulation results show that the proposed methods are more efficient than the conventional methods using virtual switches.