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arXiv 0802.1754cs.ITcs.NImath.IT
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用于网络编码的ARQ

ARQ for Network Coding

Jay Kumar Sundararajan, Devavrat Shah, Muriel Médard

摘要:

针对采用线性网络编码的通信网络,提出了一种新的编码和队列管理算法。该算法的特点是编码过程是真正在线的,而不是逐块的方法。该设置假设一个数据包擦除广播信道随机到达和充分的反馈,但所提出的方案是潜在的适用于更一般的有损网络与链路的反馈。该算法保证发送方的物理队列大小在自由度(也称为虚拟队列大小)上跟踪积压。引入了节点“看到”数据包的新概念。在这个想法,我们的算法可以被看作是一个自然的ARQ方案编码网络的扩展。我们的方法,被称为下降时看到的算法,与基线排队方法称为下降时解码。结果表明,我们的方法的预期队列大小是$O(\frac1{1-ρ})$,而不是$Ω(\frac1{(1-ρ)^2})$的基线方法,其中$ρ$是负载因子。

英文摘要:

A new coding and queue management algorithm is proposed for communication networks that employ linear network coding. The algorithm has the feature that the encoding process is truly online, as opposed to a block-by-block approach. The setup assumes a packet erasure broadcast channel with stochastic arrivals and full feedback, but the proposed scheme is potentially applicable to more general lossy networks with link-by-link feedback. The algorithm guarantees that the physical queue size at the sender tracks the backlog in degrees of freedom (also called the virtual queue size). The new notion of a node "seeing" a packet is introduced. In terms of this idea, our algorithm may be viewed as a natural extension of ARQ schemes to coded networks. Our approach, known as the drop-when-seen algorithm, is compared with a baseline queuing approach called drop-when-decoded. It is shown that the expected queue size for our approach is $O(\frac1{1-ρ})$ as opposed to $Ω(\frac1{(1-ρ)^2})$ for the baseline approach, where $ρ$ is the load factor.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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