Replica analysis and approximate message passing decoder for superposition codes

Replica analysis and approximate message passing decoder for superposition codes
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叠加码的复制分析和近似消息传递解码器

DOI:
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发表时间:
2014
期刊:
2014 IEEE International Symposium on Information Theory
影响因子:
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通讯作者:
Florent Krzakala
Florent Krzakala
中科院分区:
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文献类型:
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作者:
Jean Barbier;Florent Krzakala

文献摘要

被引文献

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叠加码对于加性白色高斯噪声信道是有效的。我们在这里提供了一个副本分析这些代码的大信号的性能。我们还考虑了贝叶斯近似消息传递解码器的基础上的置信传播方法,并讨论其性能使用密度演化技术。我们的主要发现是:1)对于我们可以访问的大小,消息传递解码器优于文献中研究的其他解码器; 2)其性能受到急剧相变的限制; 3)当这些码随着B(码中的关键参数)增加而达到容量时,消息传递解码器的性能随着相变进入较低速率而恶化。
Superposition codes are efficient for the additive white gaussian noise channel. We provide here a replica analysis of the performances of these codes for large signals. We also consider a Bayesian approximate message passing decoder based on a belief-propagation approach, and discuss its performance using the density evolution technique. Our main findings are 1) for the sizes we can access, the message-passing decoder outperforms other decoders studied in the literature 2) its performance is limited by a sharp phase transition and 3) while these codes reach capacity as B (a crucial parameter in the code) increases, the performance of the message passing decoder worsen as the phase transition goes to lower rates.