Improvement of Service Quality in Mobile Network based on Fuzzy Inference Model for Network Maintenance

Presently, due to cellular or mobile networks development, using modern methods and systems for management, monitoring and maintenance of such networks are essential. The study will propose a new method for fault monitoring of the mobile network which works based on fuzzy inference. Nowadays, the researchers have suggested several different models for this field one of which is known as the model of maintenance based on “fuzzy inference system” developed based on fuzzy logic using fuzzy control technique and belongs to the expert-based systems category. In the proposed method, the alarm rate is considered as the basis for fault detection in the network links. According to the received alarms and considering the possibility of fault occurrence, the membership functions and fuzzy rules base are designed in the FIS system. The fuzzy inference engine is of Mamdani-type function. In the suggested FIS system, the alarms are put into the system as truth values and are compared in the fuzzy inference engine and the resulting fuzzy output received at the last step shall be defuzzified. In this way, the faults in the respective link will be monitored. This method has led to service quality improvement and besides its innovation aspect it is efficient for all different fields.