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Variable-Rate Linear Network Error Correction MDS Codes

机译:可变速率线性网络纠错MDS代码

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摘要

In network communication, the source often transmits messages at severaldifferent information rates within a session. How to deal with informationtransmission and network error correction simultaneously under different ratesis introduced in this paper as a variable-rate network error correctionproblem. Apparently, linear network error correction MDS codes are expected tobe used for these different rates. For this purpose, designing a linear networkerror correction MDS code based on the existing results for each informationrate is an efficient solution. In order to solve the problem more efficiently,we present the concept of variable-rate linear network error correction MDScodes, that is, these linear network error correction MDS codes of differentrates have the same local encoding kernel at each internal node. Further, wepropose an approach to construct such a family of variable-rate network MDScodes and give an algorithm for efficient implementation. This approach savesthe storage space for each internal node, and resources and time for thetransmission on networks. Moreover, the performance of our proposed algorithmis analyzed, including the field size, the time complexity, the encodingcomplexity at the source node, and the decoding methods. Finally, a randommethod is introduced for constructing variable-rate network MDS codes and weobtain a lower bound on the success probability of this random method, whichshows that this probability will approach to one as the base field size goes toinfinity.
机译:在网络通信中,源通常在会话中以几种不同的信息速率传输消息。本文介绍了如何在不同速率下同时处理信息传输和网络纠错,作为可变速率网络纠错问题。显然,期望将线性网络纠错MDS代码用于这些不同的速率。为此,基于每个信息率的现有结果设计线性网络纠错MDS代码是一种有效的解决方案。为了更有效地解决该问题,我们提出了可变速率线性网络纠错MDS代码的概念,即,这些不同速率的线性网络纠错MDS代码在每个内部节点具有相同的本地编码内核。此外,我们提出了一种构造此类可变速率网络MDScode的方法,并给出了有效实施的算法。这种方法节省了每个内部节点的存储空间以及网络上传输的资源和时间。此外,分析了我们提出的算法的性能,包括字段大小,时间复杂度,源节点的编码复杂度以及解码方法。最后,引入了一种随机方法来构造可变速率网络MDS码,并获得了该随机方法成功概率的下限,这表明该概率将随着基场大小趋于无穷大而接近。

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  • 年度 2016
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  • 正文语种 {"code":"en","name":"english","id":9}
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