QoE-Based Traffic and Resource Management for Adaptive HTTP Video Delivery in LTE
QoE-Based Traffic and Resource Management for Adaptive HTTP Video Delivery in LTE
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DOI：
10.1109/tcsvt.2014.2367355
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发表时间：
2015-06-01
影响因子：
8.4
通讯作者：
Shehada, Mohammed
中科院分区：
文献类型：
--
作者：
El Essaili, Ali;Schroeder, Damien;Shehada, Mohammed
人们对超文本传输协议（HTTP） （DASH）服务上的超顶（OTT）动态自适应流越来越感兴趣。在移动DASH中，由客户端控制流速率，由移动网络中的基站决定资源分配。与以往大多数关注基于客户端的速率适应机制的工作不同，本文研究了移动网络在多用户OTT DASH中提高用户体验质量（QoE）的潜力。具体来说，我们首先提出了主动和被动的QoE优化方法，以适应长期演进网络中的自适应HTTP视频交付。然后，我们通过主观实验表明，通过在决定传输和流媒体速率方面发挥积极作用，网络运营商可以为流媒体用户提供更好的视频质量和更公平的QoE。此外，我们考虑了客户端的播放缓冲时间，并提出了一种新的播放缓冲相关方法，该方法根据每个客户端的缓冲时间和当前无线电条件下可实现的QoE来确定未来视频片段的流速率。此外，我们表明，通过共同解决流和传输速率，可以更有效地在用户之间分配无线网络资源，并且可以实现用户感知视频质量的大幅提高。
There is a growing interest in over-the-top (OTT) dynamic adaptive streaming over Hypertext Transfer Protocol (HTTP) (DASH) services. In mobile DASH, a client controls the streaming rate and the base station in the mobile network decides on the resource allocation. Different from the majority of previous works that focus on client-based rate adaptation mechanisms, this paper investigates the mobile network potential for enhancing the user quality-of-experience (QoE) in multiuser OTT DASH. Specifically, we first present proactive and reactive QoE optimization approaches for adapting the adaptive HTTP video delivery in an long-term evolution network. We then show, using subjective experiments, that by taking a proactive role in determining the transmission and streaming rates, the network operator can provide a better video quality and a fairer QoE across the streaming users. Furthermore, we consider the playout buffer time of the clients and propose a novel playout buffer-dependent approach that determines for each client the streaming rate for future video segments according to its buffer time and the achievable QoE under current radio conditions. In addition, we show that by jointly solving for the streaming and transmission rates, the wireless network resources are more efficiently allocated among the users and substantial gains in the user perceived video quality can be achieved.