Multi level integrity management in LTE/LTE-A networks

Abstract

The sector of telecommunications is experiencing a large growth and rapid change in developing applications due to the variety of technologies, to increase the number of users and to arrival services varied from the high demand of the service quality such as streaming, web navigation. In this regard, the 3rd Generation Partnership Project (3GPP) organization has greatly motivated to develop Next Generation Network (NGN). Indeed, telecom operators are forced to make a portfolio of available services more efficient to ensure customer loyalty. This article aims to propose an incorporation a layer above the quality of service (QoS) controller based on Fuzzy Logic to determine the guaranteed levels of QoS and levels of criticality. It describes a new approach of multi criticality in order to ensure the integrity in IP Multimedia Subsystem (IMS) networks. This approach is based on the recent model of integrity Totel. The proposed approach is tested and evaluated using Fuzzy Inference System to simulate levels of criticality for determining an adequate QoS level that ensures the customer's needs. The simulation results describe the comparison between three membership function Triangle, Trapezoidal, Gaussian also describes the comparison between the methods of defuzzification to find whose gives better results and has more efficient in the aspect of chance value for levels of QoS and levels of criticality.