Asymptotic ensemble enumerators for protograph-based generalized LDPC codes: Computational complexity

S. Abu-Surra, W. Ryan, D. Divsalar
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引用次数: 8

Abstract

In earlier work, we presented a method for finding ensemble weight enumerator for protograph-based generalized LDPC (G-LDPC) codes, and leveraged this method to find ensemble stopping set enumerator and ensemble trapping set enumerator. The method is conceptually simple, but when the dimensionality of the constraint nodes (number of their code-words) grows, it becomes difficult to handle the computational complexity, which rise while evaluating these enumerators. To deal with this difficulty, we posed a conjecture, which greatly reduce the computational complexity. Trails to proof this conjecture showed that the proof is a challenging problem. Also, proving it will strengthen the theory of enumerating protograph-based G-LDPC code ensembles. Which in turn helps in predicating the average performances for codes drawn from these ensembles. In Section II we present a review of our method for finding finite and asymptotic weight enumerators for protograph-based G-LDPC code ensembles. Then, we present the conjecture in Section III with some examples.
基于原型的广义LDPC码的渐近集合枚举数:计算复杂度
在之前的工作中,我们提出了一种寻找基于原型的广义LDPC (G-LDPC)代码的集成权重枚举器的方法,并利用该方法找到集成停止集枚举器和集成捕获集枚举器。该方法在概念上很简单,但是当约束节点的维数(它们的码字数量)增加时,处理计算复杂性就变得困难了,计算复杂性在计算这些枚举器时就会增加。为了解决这一困难,我们提出了一个猜想,大大降低了计算复杂度。对这一猜想的证明表明,证明是一个具有挑战性的问题。同时,该方法的证明也将加强基于原型的G-LDPC码集成的枚举理论。这反过来又有助于预测从这些集合中提取的代码的平均性能。在第二节中,我们提出了我们的方法来寻找有限和渐近的权重枚举器基于原型的G-LDPC码集成。然后,我们用一些例子在第三节中提出了这个猜想。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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