Modeling and optimization of the quality of customer experience (QoE) of data services on the mobile network. Application to video streaming

Abstract : In recent years, mobile devices have become more powerful in terms of computing power, memory, size and screen quality. These improvements have greatly stimulated demand for multimedia services including video streaming. Moreover, customers are increasingly demanding in terms of the quality rendered on this type of service. In addition, a bad experience of video streaming has a great impact on the perception that customers have of the operator. Optimizing the quality of experience (QoE) of customers on the services of video streaming is thus a major competitive challenge. In this thesis, we are interested in modeling and optimizing the QoE of the streaming services taking into account the usages and the mobility of the clients. In particular, we are interested in two strategies for delivering content on the mobile network: the Fast Caching strategy and the On-Off strategy. We develop analytical models that allow us to calculate major indicators of the QoE for the streaming service that are: i) starvation, which drives operators to send more video content to customers and ii) the loss due to abandoning the video playback, which pushes them to send video content in a strictly reasonable manner. An optimal balance is to be found. We also propose QoE oriented strategies by maintaining a good level of QoE over the entire network and optimizing the QoE indicators of streaming services.
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Mohamed Bouzian. Modeling and optimization of the quality of customer experience (QoE) of data services on the mobile network. Application to video streaming. Other [cs.OH]. Université Côte d'Azur, 2017. English. ⟨NNT : 2017AZUR4061⟩. ⟨tel-01622348⟩

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