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Abstract IP network is one of the most important communication fields that will make them the long-term carrier of all types of traffic, including voice. However, such networks are not designed to support real-time voice communication because their variable characteristics lead to a deterioration in voice quality. One of the major challenges in such networks is how to measure voice quality accurately and efficiency for QoS monitoring and/or control purposes to ensure that, technical and commerical requirements are met. Voice quality can be measured is slow, time consuming and expensive. Objective measurement can be intrusive or non-intrusive. Intrusive methods are more accurate, but normally are suitable for monitoring live traffic because of the need for a reference data and to utilize the network. This makes non-intrusive methods more attractive for monitoring voice quality from IP network impairments. The main goal of the thesis is to develop efficient models for study VoIP networks. These models help in the demonstration of the factors affecting voice quality and in the measure of voice quality non-intrusively using SNR along with parameters. Finally introducing teo algorithms for dynamic jitter buffer that help in optimizing the voice quality at the end. All models developed using MATLAB SIMULINK. |