LDPC码的块马尔可夫叠加传输

Qianfan Wang , Kongjing Guo , Xiao Ma
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摘要

在本文中,基于块马尔可夫叠加传输(BMST)技术,我们提出了一类新的耦合低密度奇偶校验(LDPC)码,用于基于传输块(TB)的传输,以提高纠错性能。对于编码,将对应于TB(在先前时隙)的先前LDPC码字交织并叠加到当前LDPC码词上,从而产生所发送的码字。对于解码,可以采用具有和积或最小和实现的滑动窗口解码算法,继承相对低延迟的解码。与空间耦合LDPC(SC-LDPC)码相比,所提出的编码传输的显著优点在于,可以通过重用分量块LDPC码的编码器/解码器架构来设计所提出的码的编码器/解码器。为了分析BMST-LDPC码组的瀑布性能,我们提出了基于原型图的EXIT图分析,该分析可以有效地预测瀑布区域的纠错性能。为了分析BMST-LDPC码的错误基底性能,我们采用了genie辅助(GA)下界,该下界可以有效地预测错误基底区域的纠错性能。为了便于实现,BMST-LDPC码是以(2,4)-猛禽类LDPC码或5G LDPC码为基本组成部分构建的。数值结果表明,所提出的代码可以具有接近性能的容量,显示出0.007的间隙​与相应的Shannon极限相差dB。他们还发现,通过使用所提出的BMST结构,可以显著提高原始5G块LDPC码的纠错性能,在AWGN信道上实现高达1dB的编码增益,在快衰落信道上实现2dB的编码收益。
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Block Markov superposition transmission of LDPC codes

In this paper, based on the block Markov superposition transmission (BMST) technique, we present a new class of coupled low-density parity-check (LDPC) codes for the transport block (TB)-based transmission to improve the error-correcting performance. For encoding, the previous LDPC codewords corresponding to a TB (at prior time slot) are interleaved and superimposed onto the current LDPC codewords, resulting in the transmitted codewords. For decoding, the sliding window decoding algorithm with sum-product or min-sum implementations can be employed, inheriting a relatively low-latency decoding. A distinguished advantage of the proposed coded transmission over spatially coupled LDPC (SC-LDPC) codes is that the encoder/decoder of the proposed codes can be designed by reusing the encoder/decoder architecture of component block LDPC codes. To analyze the waterfall performance of BMST-LDPC code ensembles, we present the protograph-based EXIT chart analysis, which can efficiently predict the error-correcting performance in waterfall region. To analyze the error-floor performance of BMST-LDPC codes, we employ the genie-aided (GA) lower bound, which can efficiently predict the error-correcting performance in error-floor region. For ease of implementation, the BMST-LDPC codes are constructed by taking the (2, 4)-raptor-like LDPC codes or the 5G LDPC codes as the basic components. The numerical results reveal that the proposed codes can have capacity-approaching performance, exhibiting a gap of 0.007 ​dB away from the corresponding Shannon limit. They also reveal that, by using the proposed BMST construction, the error-correcting performance of the original 5G block LDPC codes can be significantly improved, achieving coding gains up to one dB over the AWGN channels and two dB over the fast fading channels.

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