LDPC convolutional codes versus QC LDPC block codes in communication standard scenarios

I. Bocharova, B. Kudryashov, R. Johannesson
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引用次数: 13

Abstract

Outstanding asymptotical performance demonstrated by low-density parity-check (LDPC) convolutional codes (CC) makes them strong competitors with respect to quasi-cyclic (QC) LDPC block codes (BC) currently used in a variety of communication standards. However, typically communication standards, for example, DVB-S2 or WIMax standards impose rather serious restrictions on the structure of the employed codes. These restrictions are related to different implementation issues such as existence of low-complexity encoding and decoding, short decoding delay etc. Two scenarios are considered. In one scenario, short-delay and low-complexity constraints are taken into account. In the other scenario, the complexity requirement is relaxed. Both LDPC CCs and QC LDPC BCs with optimized degree distribution and girth profile, which enable low-complexity encoding, are constructed for these scenarios. Having both delay and complexity constraints yields QC LDPC BCs that outperform the LDPC CCs. In this scenario LDPC CCs play an important role mostly for constructing tailbiting QC LDPC BCs. On the other hand, assuming only a decoding delay constraint the LDPC CCs can be superior compared to the QC LDPC BCs at the relatively low signal-to-noise ratio region. Moreover, under practically acceptable decoding delays also the LDPC CCs with low-complexity encoding structure beat records in approaching the Shannon limit. A new LDPC CC is presented achieving the BER 10-7 with decoding delay 96000 bits at 0.62 dB, that is, performing only about 0.43 dB from the Shannon limit.
LDPC卷积码与QC LDPC分组码在通信标准场景
低密度奇偶校验(LDPC)卷积码(CC)所表现出的优异的渐近性能使其成为目前在各种通信标准中使用的准循环(QC) LDPC分组码(BC)的有力竞争对手。然而,典型的通信标准,例如DVB-S2或WIMax标准,对所使用的代码结构施加了相当严格的限制。这些限制与不同的实现问题有关,如低复杂度编码和解码的存在,短解码延迟等。这里考虑两种情况。在一个场景中,考虑了短延迟和低复杂度约束。在另一种场景中,复杂性要求是宽松的。针对这些场景,构建了具有优化度分布和环型的LDPC cc和QC LDPC bc,从而实现了低复杂度的编码。同时具有延迟和复杂性约束,可产生优于LDPC cc的QC LDPC bc。在这种情况下,LDPC cc主要用于构建尾咬QC LDPC bc。另一方面,假设只有一个解码延迟约束,在相对较低的信噪比区域,LDPC cc可以优于QC LDPC bc。此外,在实际可接受的解码延迟下,具有低复杂度编码结构的LDPC cc在接近香农极限时也优于记录。提出了一种新的LDPC CC,在0.62 dB时实现了10-7的误码率,解码延迟为96000位,仅比香农极限低约0.43 dB。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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