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Effects of Single-Cycle Structure on Iterative Decoding of Low-Density Parity-Check Codes

机译:单周期结构对低密度奇偶校验码迭代译码的影响

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摘要

We consider communication over the binary erasure channel (BEC) using low-density parity-check (LDPC) codes and belief propagation (BP) decoding. For fixed numbers of BP iterations, the bit error probability approaches a limit as the blocklength tends to infinity, and the limit is obtained via density evolution. The finite-blocklength correction behaves like $alpha(epsilon,t)+Theta(n^{-2})$ as the blocklength $n$ tends to infinity where $alpha(epsilon,t)$ denotes a specific constant determined by the code ensemble considered, the number $t$ of iterations, and the erasure probability $epsilon$ of the BEC. In this paper, we derive a set of recursive formulas which allows the evaluation of the constant $alpha(epsilon,t)$ for standard irregular ensembles. The dominant difference $alpha(epsilon,t)$ can be considered as effects of cycle-free and single-cycle structures of local graphs. Furthermore, it is confirmed via numerical simulations that estimation of the bit error probability using $alpha(epsilon,t)$ is accurate even for small blocklengths.
机译:我们考虑使用低密度奇偶校验(LDPC)码和置信度传播(BP)解码在二进制擦除信道(BEC)上进行通信。对于固定数量的BP迭代,当块长度趋于无穷大时,误码概率接近极限,并且该极限是通过密度演化获得的。有限块长校正的行为类似于$ alpha(epsilon,t)/ n + Theta(n ^ {-2})$,因为块长$ n $趋于无穷大,其中$ alpha(epsilon,t)$表示确定的特定常数由代码集合考虑,迭代次数$ t $,以及BEC的擦除概率$ epsilon $。在本文中,我们导出了一组递归公式,这些递归公式允许对标准不规则合奏的常数$ alpha(epsilon,t)$进行评估。主要差异$ alpha(epsilon,t)/ n $可以看作是局部图的无循环和单循环结构的影响。此外,通过数值模拟证实了即使对于小块长度,使用$ alpha(epsilon,t)$估计误码概率也是准确的。

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