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Asymptotic Analysis and Spatial Coupling of Counter Braids

机译:反辫的渐近分析与空间耦合

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A counter braid (CB) is a novel counter architecture introduced by Lu et al. in 2007 for per-flow measurements on high-speed links which can be decoded with low complexity using message passing (MP). CBs achieve an asymptotic compression rate (under optimal decoding) that matches the entropy lower bound of the flow size distribution. In this paper, we apply the concept of spatial coupling to CBs to improve the performance of the original CBs and analyze the performance of the resulting spatially-coupled CBs (SC-CBs). We introduce an equivalent bipartite graph representation of CBs with identical iteration-by-iteration finite-length and asymptotic performance. Based on this equivalent representation, we then analyze the asymptotic performance of single-layer CBs and SC-CBs under the MP decoding algorithm proposed by Lu et al.. In particular, we derive the potential threshold of the uncoupled system and show that it is equal to the area threshold. We also derive the Maxwell decoder for CBs and prove that the potential threshold is an upper bound on the Maxwell decoding threshold, which, in turn, is a lower bound on the maximum a posteriori (MAP) decoding threshold. We then show that the area under the extended MP extrinsic information transfer curve (defined for the equivalent graph), computed for the expected residual CB graph when a peeling decoder equivalent to the MP decoder stops, is equal to zero precisely at the area threshold. This, combined with the analysis of the Maxwell decoder and simulation results, leads us to the conjecture that the potential threshold is, in fact, equal to the Maxwell decoding threshold and hence a lower bound on the MAP decoding threshold. Interestingly, SC-CBs do not show the well-known phenomenon of threshold saturation of the MP decoding threshold to the potential threshold characteristic of spatially-coupled low-density parity-check codes and other coupled systems. However, SC-CBs yield better MP decoding thresholds than their uncoupled counterparts. Finally, we also consider SC-CBs as a compressed sensing scheme and show that low undersampling factors can be achieved.
机译:反编织物(CB)是Lu等人提出的一种新颖的反编织结构。在2007年用于高速链路上的每流测量,可以使用消息传递(MP)以低复杂度对其进行解码。 CB实现了渐近压缩率(在最佳解码下),与流大小分布的熵下限匹配。在本文中,我们将空间耦合的概念应用于CB,以提高原始CB的性能,并分析所得空间耦合CB(SC-CB)的性能。我们介绍了具有相同的逐项迭代有限长度和渐近性能的CB的等效二部图表示。在此等价表示的基础上,然后我们根据Lu等人提出的MP解码算法分析了单层CB和SC-CB的渐近性能。特别是,推导了未耦合系统的潜在阈值,并证明了等于面积阈值。我们还导出了用于CB的Maxwell解码器,并证明了潜在阈值是Maxwell解码阈值的上限,而Maxwell解码阈值又是最大后验(MAP)解码阈值的下限。然后,我们显示出,当等效于MP解码器的剥离解码器停止时,为预期的残留CB图计算的扩展MP非本征信息传输曲线(为等效图定义)下的面积恰好在面积阈值处等于零。结合对麦克斯韦解码器的分析和仿真结果,我们得出这样的推测:潜在阈值实际上等于麦克斯韦解码阈值,因此等于MAP解码阈值的下限。有趣的是,SC-CB并未显示出MP解码阈值的阈值饱和度对空间耦合的低密度奇偶校验码和其他耦合系统的潜在阈值特性的众所周知的现象。但是,SC-CB产生的MP解码阈值比未耦合的同行更好。最后,我们还将SC-CB视为一种压缩传感方案,并表明可以实现较低的欠采样因子。

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