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arXiv 1105.2865cs.ITmath.IT
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带边信息索引编码的纠错

Error Correction for Index Coding with Side Information

Son Hoang Dau, Vitaly Skachek, Yeow Meng Chee

摘要:

带边信息的索引编码问题首先由Y. Birk和T. Kol(IEEE INFOCOM,1998年)。在目前的工作中,一个推广的索引编码方案,其中传输的符号受到错误,进行了研究。这种方案的纠错方法,和他们的参数,进行了研究。特别地,讨论了以下问题:给定索引编码方案的边信息超图和错误符号的最大数量$δ$,线性索引码的最短长度是什么,使得每个接收机都能够恢复所需的信息?该问题是经典编码理论中寻找具有一定纠错能力的最短纠错码问题的推广。建立了线性纠错索引码(ECIC)最优长度的Singleton界和另外两个界,分别称为$α$界和$κ$界.对于大的字母表,一个最佳的索引码与MDS经典代码的串联的基础上的建设,示出达到单例界。然而,对于较小的字母,这种构造可能不是最佳的。还分析了随机构造。它给出了最优线性ECIC长度的另一个隐式界。进一步研究了线性ECIC的纠错译码问题。它示出,为了正确地解码所需的符号,解码器需要找到的向量之一,属于一个仿射空间包含实际的错误向量。如果错误模式的权重小于或等于相应ECIC的纠错能力,则示出了综合征解码产生正确的输出。最后,静态ECIC的概念,这是适合于使用一个家庭的索引编码问题的实例,介绍。

英文摘要:

A problem of index coding with side information was first considered by Y. Birk and T. Kol (IEEE INFOCOM, 1998). In the present work, a generalization of index coding scheme, where transmitted symbols are subject to errors, is studied. Error-correcting methods for such a scheme, and their parameters, are investigated. In particular, the following question is discussed: given the side information hypergraph of index coding scheme and the maximal number of erroneous symbols $δ$, what is the shortest length of a linear index code, such that every receiver is able to recover the required information? This question turns out to be a generalization of the problem of finding a shortest-length error-correcting code with a prescribed error-correcting capability in the classical coding theory. The Singleton bound and two other bounds, referred to as the $α$-bound and the $κ$-bound, for the optimal length of a linear error-correcting index code (ECIC) are established. For large alphabets, a construction based on concatenation of an optimal index code with an MDS classical code, is shown to attain the Singleton bound. For smaller alphabets, however, this construction may not be optimal. A random construction is also analyzed. It yields another implicit bound on the length of an optimal linear ECIC. Further, the problem of error-correcting decoding by a linear ECIC is studied. It is shown that in order to decode correctly the desired symbol, the decoder is required to find one of the vectors, belonging to an affine space containing the actual error vector. The syndrome decoding is shown to produce the correct output if the weight of the error pattern is less or equal to the error-correcting capability of the corresponding ECIC. Finally, the notion of static ECIC, which is suitable for use with a family of instances of an index coding problem, is introduced.

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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