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Rate Adaptation and Admission Control for Video Transmission With Subjective Quality Constrains
By : syamsul rizal
Date : 2017-08-18
Views : 186

Abstract—Adapting video data rate during streaming can effectively
reduce the risk of playback interruptions caused by channel
throughput fluctuations. The variations in rate, however, also
introduce video quality fluctuations and thus potentially affects
viewers' Quality of Experience (QoE). We show how the QoE of
video users can be improved by rate adaptation and admission
control. We conducted a subjective study wherein we found
that viewers' QoE was strongly correlated with the empirical
cumulative distribution function (eCDF) of the predicted video
quality. Based on this observation, we propose a rate-adaptation
algorithm that can incorporate QoE constraints on the empirical
cumulative quality distribution per user. We then propose a
threshold-based admission control policy to block users whose
empirical cumulative quality distribution is not likely to satisfy
their QoE constraint. We further devise an online adaptation
algorithm to automatically optimize the threshold. Extensive simulation
results show that the proposed scheme can reduce network
resource consumption by 40% over conventional average-quality
maximized rate-adaptation algorithms.
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