Balanced Reed-Solomon codes for all parameters

Citation data:

2016 IEEE Information Theory Workshop, ITW 2016, Page: 409-413

Publication Year:
2016
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Readers 1
Citations 7
Citation Indexes 7
Repository URL:
http://hdl.handle.net/10754/623516
DOI:
10.1109/itw.2016.7606866
Author(s):
Halbawi, Wael; Liu, Zihan; Hassibi, Babak
Publisher(s):
Institute of Electrical and Electronics Engineers (IEEE)
Tags:
Computer Science; Welch-Berlekamp Algorithm; Reed-Solomon Codes; Error-Correcting Codes; Erasure Codes; Distributed Storage; Load Balancing
conference paper description
We construct balanced and sparsest generator matrices for cyclic Reed-Solomon codes with any length n and dimension k. By sparsest, we mean that each row has the least possible number of nonzeros, while balanced means that the number of nonzeros in any two columns differs by at most one. Codes allowing such encoding schemes are useful in distributed settings where computational load-balancing is critical. The problem was first studied by Dau et al. who showed, using probabilistic arguments, that there always exists an MDS code over a sufficiently large field such that its generator matrix is both sparsest and balanced. Motivated by the need for an explicit construction with efficient decoding, the authors of the current paper showed that the generator matrix of a cyclic Reed-Solomon code of length n and dimension k can always be transformed to one that is both sparsest and balanced, when n and k are such that k/n (n-k+1) is an integer. In this paper, we lift this condition and construct balanced and sparsest generator matrices for cyclic Reed-Solomon codes for any set of parameters.