基于D2D对等协作传输的自适应流媒体方法

Dynamic Adaptive Streaming Based on D2D Cooperative Transportation

摘要: 随着移动互联网视频流量的快速增长，移动网络带宽成为限制流媒体传输质量的瓶颈。本文设计了一个多对多的设备到设备(D2D)的协作式自适应流媒体传输框架，将结合蜂窝网络和Wi-Fi自组网络，让设备可以充分利用邻近设备闲置的网络带宽能力来下载和分享视频，并且兼容现有自适应流媒体协议(DASH)。通过集群QoE感知，包括整体的网络带宽、缓存长度以及能耗等反馈信息，来选择合适的视频码率；并通过对等的协作方式，进行资源分配。实验结果表明：该方法相比传统非协作式传输方法，可以有效提高20%的用户满意度。

Abstract: With the recent popularity of mobile device, the video traffic is expanding while the mobile internet access cannot meet the growth of demand for media service. In this paper, we propose a De-vice-to-Device (D2D) cooperative adaptive streaming system, which supports asynchronous downloading and sharing for multi-bitrate videos in the crowd sourced network, to improve the quality of video streaming, and compatible with DASH protocol. We propose a crowd sourced QoE- aware quality adaptation algorithm for DASH and the metrics of QoE consist of network capacity, buffer level and energy. The experimental result shows that the proposed cooperative DASH system can improve 20% of user QOE as compared with the non-cooperative method.