Abstract
Due to the capability to serve a large number and various types of user traffic, ATM (Asynchronous Transfer Mode) networks are going to be the leading role in telecommunications in the immediate future. To guarantee high quality communications for a lot of customers and efficient use of network resources, the ATM network management has to contain appropriate Call Admission Control (CAC) algorithms. Choosing suitable network and user models, the CAC problem can be traced back to statistical inequalities. This paper introduces a CAC technique based on the Mean Value of the Lost Cells (MVLC) instead of using Cell Loss Probability that follows Gaussian approach. Two methods are presented which are able to estimate efficiently the MVLC. These methods are based on special transformation of the Chernoff bound.
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