Distributed scheduling scheme for video streaming over multi-channel multi-radio multi-hop wireless networks
Distributed scheduling scheme for video streaming over multi-channel multi-radio multi-hop wireless networks
复制标题
DOI：
10.1109/jsac.2010.100412
复制
发表时间：
2010-04
影响因子：
16.4
通讯作者：
Liang Zhou;Xinbing Wang;Wei Tu;Gabriel-Miro Muntean;B. Geller
中科院分区：
文献类型：
--
作者：
Liang Zhou;Xinbing Wang;Wei Tu;Gabriel-Miro Muntean;B. Geller
在无线网络上支持多用户视频流传输的一个重要问题是如何通过智能地利用可用的网络资源来优化系统调度，同时满足每个视频的服务质量（QoS）要求。在这项工作中，我们研究的问题，视频流在多信道多无线多跳无线网络，并开发完全分布式调度方案的目标是最大限度地减少视频失真，并实现一定的公平性。首先根据网络的传输机制以及视频的率失真特性，构造了一个通用的失真模型。然后，我们制定的调度作为一个凸优化问题，并提出了一个分布式的解决方案，联合考虑信道分配，速率分配，路由。具体而言，每个流在最小化视频失真的自私动机和最小化网络失真的全局性能之间取得平衡。此外，我们提出的调度方案，解决公平性问题。不同于以往的工作，针对用户的带宽或需求的公平性，我们提出了一个媒体感知的失真公平性策略，这是知道视频帧的特性，并确保最大最小失真公平性之间的多个视频流共享。我们提供了大量的仿真结果，证明了我们提出的方案的有效性。
An important issue of supporting multi-user video streaming over wireless networks is how to optimize the systematic scheduling by intelligently utilizing the available network resources while, at the same time, to meet each video's Quality of Service (QoS) requirement. In this work, we study the problem of video streaming over multi-channel multi-radio multihop wireless networks, and develop fully distributed scheduling schemes with the goals of minimizing the video distortion and achieving certain fairness. We first construct a general distortion model according to the network¿s transmission mechanism, as well as the rate distortion characteristics of the video. Then, we formulate the scheduling as a convex optimization problem, and propose a distributed solution by jointly considering channel assignment, rate allocation, and routing. Specifically, each stream strikes a balance between the selfish motivation of minimizing video distortion and the global performance of minimizing network congestions. Furthermore, we extend the proposed scheduling scheme by addressing the fairness problem. Unlike prior works that target at users' bandwidth or demand fairness, we propose a media-aware distortion-fairness strategy which is aware of the characteristics of video frames and ensures max-min distortion-fairness sharing among multiple video streams. We provide extensive simulation results which demonstrate the effectiveness of our proposed schemes.