Load control strategies for intelligent networks

Today mobile and fixed network operators widely use IN-based services. As network operators are increasing the range IN services they themselves offer the task of management network resources that end-users receive acceptable QoS is becoming problematic. This work provides the results of detailed analysis of commonly used load control strategies: Automatic Call Gapping, optimization strategy and token-based strategy. An analytic models are described and performances of the strategies are compared with each other using overload scenario involving the overload of network resources for Intelligent network which provides CAMEL-based services.