Dispersive Video Frame Importance Driven Probabilistic Packet Mapping for 802.11e Based Video Transmission

2011 Third International Conference on Intelligent Networking and Collaborative Systems Pub Date : 2011-11-30 DOI:10.1109/INCoS.2011.77

Wen-Ping Lai, En-Cheng Liou, Wei-Hao Fu

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引用次数: 5

Abstract

The FIFO characteristic of the access category queue (AC_VI) reserved for video in the 802.11e MAC limits its performance for high quality video transmission during traffic congestions. To enhance video transmission quality, further service differentiation among the video packets is preferred. To achieve this, this paper presents a novel cross-layer design by proposing a dispersive video frame importance (DVFI) scheme from the Application layer and a dispersive random early detection (DRED) algorithm for video packet mapping among ACs. DVFI is calculated from a single frame loss induced video quality impairment, including the effects of imperfect concealment for the lost video frame itself and its error propagation to the surrounding video frames. Whereas DRED can dynamically determine the packet mapping probabilities among ACs based on the dispersive values of packet importance. Our results show the superiority of the proposed (DVFI+DRED) framework over the existing ones, including EDCA and (I/P/B+AM), and it can reach a largest gain of 3.2 dB over EDCA, and 2.6 dB over (I/P/B+AM).

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基于802.11e视频传输的分散视频帧重要性驱动的概率分组映射

802.11e MAC中为视频预留的访问类别队列(AC_VI)的FIFO特性，限制了其在流量拥塞时传输高质量视频的性能。为了提高视频传输质量，最好对视频包进行进一步的业务区分。为了实现这一目标，本文提出了一种新的跨层设计，提出了一种来自应用层的分散视频帧重要性(DVFI)方案和一种用于ac之间视频分组映射的分散随机早期检测(DRED)算法。DVFI是根据单个帧丢失引起的视频质量损害来计算的，包括丢失的视频帧本身不完全隐藏的影响以及它的错误传播到周围的视频帧。而DRED可以根据分组重要性的弥散值动态确定ac之间的分组映射概率。我们的研究结果表明，所提出的(DVFI+DRED)框架优于现有的框架，包括EDCA和(I/P/B+AM)，它比EDCA可以达到3.2 dB的最大增益，比(I/P/B+AM)可以达到2.6 dB。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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2011 Third International Conference on Intelligent Networking and Collaborative Systems

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