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IEEE International Symposium on Information Theory (ISIT)

Two-edge type LDPC code ensembles with exponentially few codewords with linear small weight

Tsuyoshi Nakasendo, Kenta Kasai, Tomoharu Shibuya, Kohichi Sakaniwa

Published Jul 1, 2008• 2 citations
Publisher

Abstract

Multi-Edge type LDPC codes are introduced by Richardson and Urbanke, and they show examples of their ensembles has better performance than other known ensembles. Orlitsky et al. derived the condition for irregular LDPC code ensembles with minimum distance linearly increasing in code length. We derive the condition corresponding to Orlitsky’s condition for two-edge type LDPC code ensembles which is simple example of Multi-Edge type LDPC code ensembles.

DOI
10.1109/isit.2008.4595165

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Multi-Edge type LDPC codes are introduced by Richardson and Urbanke, and they show examples of their ensembles has better performance than other known ensembles. Orlitsky et al. derived the condition for irregular LDPC code ensembles with minimum distance linearly increasing in code length. We derive the condition corresponding to Orlitsky’s condition for two-edge type LDPC code ensembles which is simple example of Multi-Edge type LDPC code ensembles.
Multi-edge type LDPC codes are introduced by Richardson and Urbanke, and they show examples of their ensembles have better performance than other known ensembles. Orlitsky et al. derived the condition for irregular LDPC code ensembles with minimum distance linearly increasing in code length. Nakasendo et al. derived the condition that code ensembles have exponentially decreasing small linear weight codewords for two-edge type LDPC code ensembles which is simple example of multi-edge type LDPC code ensembles. In this paper, we derive the condition for three-edge type LDPC code ensembles whose edge-types does not share any variable node and does share all of the check nodes with exponentially decreasing small linear weight codewords. The condition is necessary for the existence of the average relative minimum distance of ensembles. Our method is expected to derive the condition for multi-edge type LDPC codes.
Multi-edge type LDPC codes are introduced by Richardson and Urbanke, and they show examples of their ensembles have better performance than other known ensembles. Orlitsky et al. derived the condition for irregular LDPC code ensembles with small linear weight codewords exponentially decreasing in code length. Nakasendo et al. derived the condition in which code ensembles have exponentially decreasing small linear weight codewords for two-edge type LDPC code ensembles which is simple example of multi-edge type LDPC code ensembles. Our conclusion is the same as that of Nakasendo et al., and although Nakasendopsilas method is difficult to apply to more than three edge-types, there is a possibility that our method using Hayman approximation as Di et al. do derives the condition for multi-edge type LDPC codes ensembles.
In practical LDPC design one is invariably interested in achieving the best possible performance. Although we have used the framework of irregular low-density parity-check (LDPC) ensembles throughout this book, the notion of “irregularity” we have employed is not the most general possible and the best performing structures are not properly captured in that framework. We start by presenting in Section 7.1 a generalization of irregular LDPC ensembles called multi-edge-type LDPC ensembles . In principle, any of the ensembles suggested to date can be represented in this form and we demonstrate this discussing a few examples. In Section 7.2 we review the theory surrounding these ensembles. It is largely the same as for the standard irregular case, which is why we have avoided using this more complex notion so far. The multi-edge-type generalization enjoys several advantages. With multi-edge-type LDPC codes one can achieve better performance at lower complexity. The generalization is especially useful under extreme conditions where standard irregular LDPC codes do not fare so well. Examples of these conditions include very low code rates, high rate codes that target very low bit error rates, and codes used in conjunction with turbo equalization schemes. We discuss in Section 7.3 an alternative and complementary way of describing structured ensembles. These ensembles are the result of lifting a very small graph to a large graph by first replicating the structure of the small graph a large number of times and then by choosing the connections between these copies in a random way.
For a (lambda(x); rho(x)) standard irregular LDPC code ensemble, the growth rate of the average weight distribution for small relative weight omega is given by log(lambda'(0)rho'(1))omega + O(omega2) in the limit of code length n. If lambda'(0)rho'(1) < 1, there exist exponentially few code words of small linear weight, as n tends to infinity. It is known that the condition coincides with the stability condition of density evolution over the erasure channels with the erasure probability 1. In this paper, we show that this is also the case with multi-edge type LDPC (MET-LDPC) codes. MET-LDPC codes are generalized structured LDPC codes introduced by Richardson and Urbanke. The parameter corresponding lambda'(0)rho'(1) appearing in the conditions for MET-LDPC codes is given by the spectral radius of the matrix defined by extended degree distributions.