arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 2005.06428cs.ITmath.IT
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LDPC码在点对点和多址通信中的块长和误差指数分析

Finite-Blocklength and Error-Exponent Analyses for LDPC Codes in Point-to-Point and Multiple Access Communication

Yuxin Liu, Michelle Effros

摘要:

本文应用误差指数和色散分析方法,推导了低密度奇偶校验码(LDPC)在点对点信道(PPC)和多址信道(MAC)上的有限块长可扩展性界。错误指数分析应用Gallager的错误指数来限制MAC中可实现的对称和非对称速率。分散型分析开始于从具有i.i.d.的随机码集合对随机编码联合(RCU)界的推广。将码字概括为随机码集合,其中码字可以是统计相关的;这种概括是有用的,因为诸如随机LDPC码的随机线性码的码字是相关的。应用RCU界产生改进的有限块长度误差界和渐近可扩展性的结果i.i.d.随机码和新的有限块长度的错误界和LDPC码的可扩展性结果。对于离散的,无记忆的信道,这些结果表明,LDPC码实现一阶和二阶的性能是最佳的PPC和相同的最佳先验结果的MAC。

英文摘要:

This paper applies error-exponent and dispersion-style analyses to derive finite-blocklength achievability bounds for low-density parity-check (LDPC) codes over the point-to-point channel (PPC) and multiple access channel (MAC). The error-exponent analysis applies Gallager's error exponent to bound achievable symmetrical and asymmetrical rates in the MAC. The dispersion-style analysis begins with a generalization of the random coding union (RCU) bound from random code ensembles with i.i.d. codewords to random code ensembles in which codewords may be statistically dependent; this generalization is useful since the codewords of random linear codes such as random LDPC codes are dependent. Application of the RCU bound yields improved finite-blocklength error bounds and asymptotic achievability results for i.i.d. random codes and new finite-blocklength error bounds and achievability results for LDPC codes. For discrete, memoryless channels, these results show that LDPC codes achieve first- and second-order performance that is optimal for the PPC and identical to the best-prior results for the MAC.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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