Implementation of Quantum Decision-Making Based Recommendation Method for Adaptive Bitrate Streaming

Various services including video streaming are provided via the Internet. In the future, as network virtualization technology advances, building and controlling a network for each service is expected to make the network suitable for the service. In this case, it is necessary to design the network construction and operation from the viewpoint of the quality of experience (QoE) of users. Although research on modeling QoE of users has been advanced, the QoE changes according to the user’s psychological effect, so it can be hard to model the complete QoE in the conventional model. On the other hand, quantum decision-making has begun to be drawing attention in recent years as a model for expressing human cognitive state and decision-making. In quantum decision-making, it is possible to represent human behavior, which is hard to express in the conventional cognitive model, and it is expected as a more general model. In this paper, we implement the recommendation algorithm in MPEG-DASH, which recommends the user to select the appropriate bitrate by avoiding the cognitive bias captured by the quantum decision-making model.