DASH rate control using game theory to consider user video preference

Dynamic adaptive streaming over HTTP (DASH) is the most widespread internet video delivery service system. In DASH, a bitrate is selected dynamically to appropriately share the bandwidth of the server among multiple users. While most of the existing rate-selection methods have been based on improving quality of service (QoS), quality of experience (QoE) methods that express user satisfaction with the quality of video content have been attracting the attention of service providers and network providers. In addition, some studies show that user preference affects QoE. Therefore, we both propose and demonstrate the effectiveness of a rate-selection method based on game theory that considers user preference for video streaming.