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Quality of experience (QoE) varies dramatically according to the video content. The most common video quality prediction models are based on the application and network layers. However, little research has been done to predict video quality on the basis of video content over fourth-generation (4G) wireless networks. The aim of this study is to classify(More)
Long Term Evolution (LTE) is the preliminary version of a fourth generation (4G) mobile communication system. Its aim is to support different services with high data rates and strict Quality of Experience (QoE) requirements of users. The main aim of this study is to present a prediction model based on Random Neural Networks (RNNs) for objective,(More)
Long Term Evolution (LTE) is a fourth generation (4G) mobile communication system that supports wireless multimedia applications. The success of video applications over LTE networks very much depends on meeting the Quality of Experience (QoE) requirements of users. The aim of this paper is to present a new QoE prediction model for video over LTE networks.(More)
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