QoE-Driven Mobile Streaming: A Location-Aware Approach

In this paper, we maximize the quality of experience (QoE) for mobile video streaming. QoE is modeled to capture user's video quality assessment as well as the freezing and bitrate variation during playback. Based on an observation that network bandwidth is correlated with location, we predict the future locations and accordingly the bandwidth along a trip. Then, the predicted information is utilized to dynamically adapt the video version and bitrate with maximized QoE. We show that our proposed solution well approximates the offline optimal performance by almost 98% on average. The proposed solution is also competitive compared to several popular streaming algorithms.

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