Interval Type-2 Fuzzy Logic Model For Connection Admission Control In 4G Networks

The time-varying nature of the parameters influencing the Quality of service (QoS) of real-time applications means the Call Admission Control (CAC) in 4G networks has to deal with some degree of uncertainty. The existing approaches fail to properly manage this uncertainty. A model is proposed to effectively manage real-time traffic via the deployment of an Interval Type-2 Fuzzy Logic Controllers (FLCs).

Admission Control is a validation process in communication systems where a check is performed before a connection is established to see if current resources are sufficient for the proposed connection. The role of CAC is to decide whether there are sufficient free resources on the requested link to allow a new connection. Fuzzy logic has emerged as a tool to deal with uncertain, imprecise, partial truth to achieve robustness, tractability, and low cost. Fuzzy expert systems are widely used due to its ability to make decision based on the experience of an expert stored in a knowledge base. Latency, packet loss, Signal strength, load and user mobility are the five parameters employed in the fuzzy connection admission control system while java programming language is employed in the implementation of the system.