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Limits to list decoding Reed-Solomon codes
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Source Annual ACM Symposium on Theory of Computing archive
Proceedings of the thirty-seventh annual ACM symposium on Theory of computing table of contents
Baltimore, MD, USA
SESSION: Session 12A table of contents
Pages: 602 - 609  
Year of Publication: 2005
ISBN:1-58113-960-8
Authors
Venkatesan Guruswami  University of Washington, Seattle, WA
Atri Rudra  University of Washington, Seattle, WA
Sponsors
SIGACT: ACM Special Interest Group on Algorithms and Computation Theory
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
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ABSTRACT

In this paper, we prove the following two results that expose some combinatorial limitations to list decoding Reed-Solomon codes.

  1. Given n distinct elements α1,...,αn from a field F, and n subsets S1,...,Sn of F each of size at most l, the list decoding algorithm of Guruswami and Sudan [7] can in polynomial time output all polynomials p of degree at most k which satisfy p(αi) ∈ Si for every i, as long as l < ⌈ n/k ⌉. We show that the performance of this algorithm is the best possible in a strong sense; specifically, we show that when l = ⌈ n/k ⌉, the list of output polynomials can be super-polynomially large in n. One way to interpret our result is the following. The algorithm in [7] can, when given as input $n'$ distinct pairs (βi,∈i) ∈ F2 (the βi's need not be distinct), find and output all degree k polynomials p such that p(βi) = γi for at least $t$ values of i, provided t > √k n'. By our result, an improvement to the Reed-Solomon list decoder of [7] that works with slightly smaller agreement, say t > √kn' - k/2, can only be obtained by exploiting some property of the βi's (for example, their (near) distinctness).
  2. For Reed-Solomon codes of block length $n$ and dimension k where k = nδ for small enough δ, we exhibit an explicit received word r with a super-polynomial number of Reed-Solomon codewords that agree with it on $(2 - ε) k locations, for any desired ε > 0 (we note agreement of k is trivial to achieve). Such a bound was known earlier only for a non-explicit center. We remark that finding explicit bad list decoding configurations is of significant interest --- for example the best known rate vs. distance trade-off is based on a bad list decoding configuration for algebraic-geometric codes [14] which is unfortunately not explicitly known.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
Elwyn Berlekamp. Algebraic Coding Theory. McGraw-Hill Series in Systems Science, 1968.
 
2
 
3
Ilya Dumer, Daniele Micciancio, and Madhu Sudan. Hardness of approximating the minimum distance of a code. IEEE Transactions on Information Theory, 49(1):22--37, January 2003.
 
4
Andrew Granville. The arithmetic properties of binomial coefficients. In http://www.cecm.sfu.ca/organics/papers/granville/, 1996.
 
5
Venkatesan Guruswami, Johan Hastad, Madhu Sudan, and David Zuckerman. Combinatorial bounds for list decoding. IEEE Transactions on Information Theory, 48:1021--1035, May 2002.
 
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7
Venkatesan Guruswami and Madhu Sudan. Improved decoding of Reed-Solomon and algebraic-geometric codes. IEEE Transactions on Information Theory, 45:1757--1767, 1999.
 
8
Venkatesan Guruswami and Madhu Sudan. Extensions to the Johnson Bound. Manuscript; available from http://theory.lcs.mit.edu/~madhu/papers.html, 2000.
 
9
F. J. MacWilliams and Neil J. A. Sloane. The Theory of Error-Correcting Codes. Elsevier/North-Holland, Amsterdam, 1981.
 
10
Jørn Justesen and Tom Høholdt. Bounds on list decoding of MDS codes. IEEE Transactions on Information Theory, 47(4):1604--1609, May 2001.
 
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Amnon Ta-Shma and David Zuckerman. Extractor Codes. IEEE Transactions on Information Theory, 50(12):3015--3025, 2004.
 
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14
Chaoping Xing. Nonlinear codes from algebraic curves improving the Tsfasman-Vladut-Zink bound. IEEE Transactions on Information Theory, 49(7):1653--1657, 2003.

Collaborative Colleagues:
Venkatesan Guruswami: colleagues
Atri Rudra: colleagues