实时应用中参考损失恢复的概念及其对QoS提供的改进

M. Hayasaka, T. Manodham, T. Miki
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引用次数: 4

摘要

预计在不久的将来,实时多媒体流将迅速增长。在传输过程中丢包是这些多媒体应用的一个严重问题,因为它会导致服务质量(QoS)的降低。前向纠错(FEC)是一种很有前途的恢复流媒体丢失数据包和提高流媒体服务质量的技术。但是,FEC可能会降低所有流的QoS,因为当流会话增加时,FEC开销会增加拥塞。本文提出了一种新的FEC方法,避免了流媒体过程中FEC开销的不利影响。此外,我们定义了FEC可以提高丢包率的最大网络负载百分比,以明确每个FEC和自动重复请求(ARQ)方案的有效范围。数值分析表明,与传统方法相比,该方法大大提高了丢包率
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Concept of Referential Loss Recovery for Real-Time Applications and its Improvements of QoS Provision
Real-time multimedia streaming is expected to grow rapidly in the near future. Packet losses during transmission are a serious problem for these multimedia applications since they result in degradation of the quality of service (QoS). Forward error correction (FEC) is a promising technique to recover the lost packets and improve the QoS of streaming media. However, FEC may degrade the QoS of all streaming due to the increased congestion caused by FEC overhead when streaming sessions increase. In this paper, a novel FEC method that avoids the adverse effect of FEC overhead during media streaming is proposed. Also, we define the maximum percentage of network load where FEC can improve the packet loss ratio to clarify the effective ranges where each FEC and automatic repeat request (ARQ) scheme works well. The numerical analyses show that our proposed method highly improves the packet loss ratio compared to conventional method
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