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IEEE International Symposium on Information Theory (ISIT)

If binary codes existed that exceed Gilbert-Varshamov bound they could not reach the cutoff rate of BSC

T. Beth, D.E. Lazic

Published Nov 19, 2002• 1 citation
Publisher

Abstract

Binary block codes exceeding the Gilbert-Varshamov bound on the minimum Hamming distance (if such codes exist) have their error exponents below the one of the binary symmetric channel (BSC) in the interval (R/sub crit/, R/sub c/) and they cannot reach the cutoff rate R/sub 0/ and thus the capacity R/sub c/ of the BSC if a maximum likelihood decoder (MLD) is used.

DOI
10.1109/isit.1995.531336

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Binary block codes exceeding the Gilbert-Varshamov bound on the minimum Hamming distance (if such codes exist) have their error exponents below the one of the binary symmetric channel (BSC) in the interval (R/sub crit/, R/sub c/) and they cannot reach the cutoff rate R/sub 0/ and thus the capacity R/sub c/ of the BSC if a maximum likelihood decoder (MLD) is used.
Evseev’s lemma claims that if we use the decoding by a standard array and use coset leaders having the weight not greater than Gilbert-Varshamov distance then the probability of error decoding will become not greater than the probability of error decoding of maximum-likelihood multiplied by two. However, the estimation of tightness of this bound is an open problem. In this work we perform the estimation of the accuracy of Evseev’s lemma on the example of several linear random codes by simulating them in a binary-symmetric channel.
Ensembles of binary random LDPC block codes constructed using Hamming codes as constituent codes are studied for communicating over the binary symmetric channel. These ensembles are known to contain codes that asymptotically almost meet the Gilbert-Varshamov bound. It is shown that in these ensembles there exist codes which can correct a number of errors that grows linearly with the code length, when decoded with a low-complexity iterative decoder, which requires a number of iterations that is a logarithmic function of the code length. The results are supported by numerical examples, for various choices of the code parameters.