Heavy-Traffic Analysis of QoE Optimality for On-Demand Video Streams Over Fading Channels
Heavy-Traffic Analysis of QoE Optimality for On-Demand Video Streams Over Fading Channels
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DOI：
10.1109/tnet.2018.2846518
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发表时间：
2018-06
期刊：
影响因子：
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通讯作者：
Ping-Chun Hsieh;I.-Hong Hou
中科院分区：
文献类型：
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作者：
Ping-Chun Hsieh;I.-Hong Hou
本文提出了在线调度策略，以优化体验质量（QoE）的视频点播应用在无线网络中。我们考虑无线系统，其中接入点通过衰落信道将视频内容传输到客户端。每个流的QoE通过其视频回放中断的持续时间来测量。我们特别感兴趣的系统在繁忙的交通制度。我们首先考虑一个特殊的情况下，ON-OFF信道加上恒定比特率的视频，并建立一个调度策略，实现在繁忙的交通条件下的容量区域中的每一个点。这种政策，然后扩展到更一般的衰落信道和可变比特率的视频，我们证明了它仍然是最优的一些温和的条件下。然后，我们制定了一个网络效用最大化问题的基础上，每个流的QoE。我们证明，我们的政策达到最佳的整体效用时，他们的参数选择得当。最后，我们将我们的政策与三种流行的政策进行比较。仿真和实验结果验证了所提出的策略确实优于现有的政策。
This paper proposes online scheduling policies to optimize quality of experience (QoE) for video-on-demand applications in wireless networks. We consider wireless systems, where an access point transmits video content to clients over fading channels. The QoE of each flow is measured by its duration of video playback interruption. We are specifically interested in systems operating in the heavy-traffic regime. We first consider a special case of ON–OFF channels plus constant-bit-rate videos and establish a scheduling policy that achieves every point in the capacity region under heavy-traffic conditions. This policy is then extended for more general fading channels and variable-bit-rate videos, and we prove that it remains optimal under some mild conditions. We then formulate a network utility maximization problem based on the QoE of each flow. We demonstrate that our policies achieve the optimal overall utility when their parameters are chosen properly. Finally, we compare our policies against three popular policies. Simulation and experimental results validate that the proposed policies indeed outperform existing policies.