4.5 Article

Design of Spatially Coupled LDPC Codes Over GF(q) for Windowed Decoding

期刊

IEEE TRANSACTIONS ON INFORMATION THEORY
卷 62, 期 9, 页码 4781-4800

出版社

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TIT.2016.2567638

关键词

q-ary spatially coupled low-density parity-check codes; protographs; edge spreading; iterative decoding thresholds; binary erasure channel; q-ary density evolution; binary-input additive white Gaussian noise channel; q-ary extrinsic information transfer analysis; flooding-schedule decoding; windowed decoding; decoding complexity; decoding latency

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In this paper, we study spatially coupled low-density parity-check (SC-LDPC) codes over finite fields GF(q), q >= 2, and develop design rules for q-ary SC-LDPC code ensembles based on their iterative belief propagation decoding thresholds, with particular emphasis on low-latency windowed decoding (WD). We consider transmission over both the binary erasure channel (BEC) and the binary-input additive white Gaussian noise channel (BIAWGNC) and present results for a variety of (J, K)-regular SC-LDPC code ensembles constructed over GF(q) using protographs. Thresholds are calculated using the protograph versions of q-ary density evolution (for the BEC) and the q-ary extrinsic information transfer analysis (for the BIAWGNC). We show that the WD of q-ary SC-LDPC codes provides significant threshold gains compared with corresponding (uncoupled) q-ary LDPC block code (LDPC-BC) ensembles when the window size W is large enough and that these gains increase as the finite-field size q = 2(m) increases. Moreover, we demonstrate that the new design rules provide WD thresholds that are close to capacity, even when both m and W are relatively small (thereby reducing decoding complexity and latency). The analysis further shows that, compared with standard flooding-schedule decoding, the WD of q-ary SC-LDPC code ensembles results in significant reductions in both the decoding complexity and the decoding latency and that these reductions increase as m increases. For the applications with a near-threshold performance requirement and a constraint on decoding latency, we show that using q-ary SC-LDPC code ensembles, with moderate q > 2, instead of their binary counterparts results in reduced decoding complexity.

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