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Title: Improving the Belief-Propagation Convergence of Irregular LDPC Codes Using Column-Weight Based Scheduling
Authors: Aslam, Chaudhry Adnan
Guan, Yong Liang
Cai, Kui
Keywords: Belief-propagation
Rayleigh fading
LDPC codes
Shuffled decoding
Decoding schedule
Issue Date: 2015
Source: Aslam, C. A., Guan, Y. L., & Cai, K. (2015). Improving the Belief-Propagation Convergence of Irregular LDPC Codes Using Column-Weight Based Scheduling. IEEE Communications Letters, 19(8), 1283-1286.
Series/Report no.: IEEE Communications Letters
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 highto- low column-weight based decoding schedule can noticeably increase the convergence speed at medium to high signal-to-noise ratio (SNR) over AWGN and Rayleigh fading channels without introducing additional complexity or error rate degradation. Furthermore, it is found that the improvement in decoding convergence is proportional to the maximum column-weight in the code graph.
ISSN: 1089-7798
DOI: 10.1109/LCOMM.2015.2444381
Schools: School of Electrical and Electronic Engineering 
Rights: © 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The published version is available at: [].
Fulltext Permission: open
Fulltext Availability: With Fulltext
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