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arXiv 1609.02460cs.ITmath.IT
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最优二元非MDS纠删码族

Families of Optimal Binary Non-MDS Erasure Codes

Danilo Gligoroski, Katina Kralevska

摘要:

我们引入了$GF(2)$上的$[n, k]$码的\emph{Families of Optimal Binary Non-MDS Erasure Codes}的定义,并提出了一种在平衡异或码上利用爬山技术寻找这些族的算法.由于爬山搜索,这些代码族总是具有比在典型的随机线性网络编码场景中生成的代码更好的解码概率,即,随机线性码我们还显示了一个令人惊讶的结果,对于小值的$k$,我们的代码在$GF(2)$的解码概率是非常接近的随机线性网络编码,但在更高的有限域$GF(4)$的代码的解码概率。

英文摘要:

We introduce a definition for \emph{Families of Optimal Binary Non-MDS Erasure Codes} for $[n, k]$ codes over $GF(2)$, and propose an algorithm for finding those families by using hill climbing techniques over Balanced XOR codes. Due to the hill climbing search, those families of codes have always better decoding probability than the codes generated in a typical Random Linear Network Coding scenario, i.e., random linear codes. We also show a surprising result that for small values of $k$, the decoding probability of our codes in $GF(2)$ is very close to the decoding probability of the codes obtained by Random Linear Network Coding but in the higher finite field $GF(4)$.

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