Please use this identifier to cite or link to this item:
Full metadata record
DC FieldValueLanguage
dc.contributor.authorAslam, Chaudhry Adnanen
dc.contributor.authorGuan, Yong Liangen
dc.contributor.authorCai, Kuien
dc.identifier.citationAslam, 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.en
dc.description.abstractIn 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.en
dc.format.extent4 p.en
dc.relation.ispartofseriesIEEE Communications Lettersen
dc.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: [].en
dc.subjectRayleigh fadingen
dc.subjectLDPC codesen
dc.subjectShuffled decodingen
dc.subjectDecoding scheduleen
dc.titleImproving the Belief-Propagation Convergence of Irregular LDPC Codes Using Column-Weight Based Schedulingen
dc.typeJournal Articleen
dc.contributor.schoolSchool of Electrical and Electronic Engineeringen
dc.description.versionAccepted versionen
item.fulltextWith Fulltext-
Appears in Collections:EEE Journal Articles

Citations 10

Updated on Jan 24, 2023

Web of ScienceTM
Citations 10

Updated on Jan 23, 2023

Page view(s) 50

Updated on Feb 1, 2023

Download(s) 10

Updated on Feb 1, 2023

Google ScholarTM




Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.