Analytical QoE Models for Bit-Rate Switching in Dynamic Adaptive Streaming Systems
Analytical QoE Models for Bit-Rate Switching in Dynamic Adaptive Streaming Systems
复制标题
动态自适应流媒体系统中比特率切换的 QoE 分析模型
DOI：
10.1109/tmc.2014.2307323
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发表时间：
2014-12-01
影响因子：
7.9
通讯作者：
Chiu, Dah-Ming
中科院分区：
文献类型：
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作者：
Xu, Yuedong;Zhou, Yipeng;Chiu, Dah-Ming
无线网络中的视频流服务越来越多地使用视频比特率的动态选择来提供高质量的用户体验 (QoE)。在客户端执行的比特率切换机制在确定 QoE 指标方面发挥着关键作用。在本文中，我们提出了第一个分析框架，在给定比特率切换逻辑的情况下计算播放缓冲区的饥饿概率、连续播放时间和平均视频质量。无线信道被建模为连续时间马尔可夫过程，播放缓冲区被建模为具有马尔可夫调制流体到达的流体队列。我们构建了一组常微分方程（ODE）来表征饥饿概率和预期连续播放时间与缓冲区长度的动态关系，并构建了简单模型来分析不同比特率切换算法的平均比特率。我们的框架非常通用，通过添加适当的参数，它可以用于预测动态自适应流的 QoE 指标，具有多种功能：i) 缓冲区感知比特率切换 ii) 用户的耐心，以及 iii) 接收方流量控制。
Video streaming service in wireless networks is increasingly using dynamic selection of video bit-rates to provide a high quality of user experience (QoE). The bit-rate switching mechanism, performed at client side, plays a key role in determining QoE metrics. In this paper, we present the first analytical framework to compute starvation probability of playout buffer, continuous playback time and mean video quality, given the bit-rate switching logics. Wireless channel is modeled as a continuous time Markov process, and playout buffer is modeled as a fluid queue with Markov modulated fluid arrival. We construct a set of ordinary differential equations (ODEs) to characterize the dynamics of starvation probability and expected continuous playback time with regard to buffer length, and simple models to analyze mean bit-rate for different bit-rate switching algorithms. Our framework is very general in that by adding appropriate parameters, it can be utilized to predict the QoE metrics of dynamic adaptive streaming with a variety of features: i) buffer-aware bit-rate switching ii) (im)patience of the user, and iii) receiver-side flow control.