论文标题

互联网上视频流量的Qoe-Aware跨层架构

QoE-aware cross-layer architecture for video traffic over Internet

论文作者

Qadir, Safeen, Kist, Alexander A., Zhang, Zhongwei

论文摘要

视频应用程序和能够视频设备的出现为互联网上的视频流量增加做出了重大贡献。新的机制建议适应视频速率以提供增强的体验质量(QOE),同时为更多会议提供了空间。本文介绍了互联网上的视频流量的跨层Qoe-感知体系结构。它提出,应用程序层的视频源通过动态控制发射的比特率来使其速率适应网络环境;网络层的网络边缘通过通过视频吸引的入学控制来控制新会话的接受来保护主动视频会话的质量。特别是,它将寻求最有效的方法来接受新的视频会话并调整传输速率,以释放更多的资源以进行更多会话,同时保持主动会议的Qoe。拟议的框架将有助于在可预见的未来为视频流量的极端增长做准备。仿真结果表明,所提出的跨层体系结构保证了接收的会话的QOE,并更有效地利用了链接,与仅速率适应体系结构进行了比较。

The emergence of video applications and video capable devices have contributed substantially to the increase of video traffic on Internet. New mechanisms recommending video rate adaptation towards delivering enhanced Quality of Experience (QoE) at the same time making room for more sessions. This paper introduces a cross-layer QoE-aware architecture for video traffic over the Internet. It proposes that video sources at the application layer adapt their rate to the network environment by controlling their transmitted bit rate dynamically; and the edge of network at the network layer protects the quality of the active video sessions by controlling the acceptance of new session through a video-aware admission control. In particular, it will seek the most efficient way of accepting new video session and adapting transmission rates to free up resources for more session while maintaining the QoE of active sessions. The proposed framework will contribute to the preparation for the extreme growth of video traffic in the foreseeable future. Simulation results show that the proposed cross-layer architecture guarantees the QoE for the admitted sessions and utilizes the link more efficiently comparing to the rate adaptation only architecture.

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