2015
DOI: 10.1109/lcomm.2015.2444381
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Improving the Belief-Propagation Convergence of Irregular LDPC Codes Using Column-Weight Based Scheduling

Abstract: In this letter, a novel scheduling scheme for decoding irregular low-density parity-check (LDPC) code, based on the column weight of variable nodes in the code graph, is introduced. In this scheme, the irregular LDPC code is decoded using the shuffled belief-propagation (BP) algorithm by selecting the variable nodes in descending order of their column weight. Via numerical simulation, it is shown that the proposed high-to-low column-weight based decoding schedule can noticeably increase the convergence speed a… Show more

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Cited by 27 publications
(16 citation statements)
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References 14 publications
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“…For all these simulations, we set α " 5 and I max " 40. The error performance curves for QA-BP, QA-BP plus CW based scheduling [14] and conventional shuffled BP decoding schemes are shown in Fig. 5.…”
Section: Simulation Resultsmentioning
confidence: 99%
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“…For all these simulations, we set α " 5 and I max " 40. The error performance curves for QA-BP, QA-BP plus CW based scheduling [14] and conventional shuffled BP decoding schemes are shown in Fig. 5.…”
Section: Simulation Resultsmentioning
confidence: 99%
“…For that, we compute the ratio of aver- . To be precise, the proposed QA-BP decoding and the QA-BP combined with CW based scheduling [14] improve the convergence speed by up to 25% and 44% compared to the conventional shuffled BP decoding scheme. It should be noted that the proposed scheme does not require run-time real-valued comparisons, thereby, avoiding any additional decoding complexity.…”
Section: Simulation Resultsmentioning
confidence: 99%
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