mDASH: A Markov Decision-Based Rate Adaptation Approach for Dynamic HTTP Streaming
Abstract
Dynamic adaptive streaming over HTTP (DASH) has recently been widely deployed in the Internet. It, however, does not impose any adaptation logic for selecting the quality of video fragments requested by clients. In this paper, we propose a novel Markov decision-based rate adaptation scheme for DASH aiming to maximize the quality of user experience under time-varying channel conditions. To this end, our proposed method takes into account those...
Paper Details
Title
mDASH: A Markov Decision-Based Rate Adaptation Approach for Dynamic HTTP Streaming
Published Date
Apr 1, 2016
Volume
18
Issue
4
Pages
738 - 751
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