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Stefan cel Mare
University of Suceava
Faculty of Electrical Engineering and
Computer Science
13, Universitatii Street
Suceava - 720229
ROMANIA

Print ISSN: 1582-7445
Online ISSN: 1844-7600
WorldCat: 643243560
doi: 10.4316/AECE


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  2/2016 - 12

A PEG Construction of LDPC Codes Based on the Betweenness Centrality Metric

BHURTAH-SEEWOOSUNGKUR, I. See more information about BHURTAH-SEEWOOSUNGKUR, I. on SCOPUS See more information about BHURTAH-SEEWOOSUNGKUR, I. on IEEExplore See more information about BHURTAH-SEEWOOSUNGKUR, I. on Web of Science, CATHERINE, P. C. See more information about  CATHERINE, P. C. on SCOPUS See more information about  CATHERINE, P. C. on SCOPUS See more information about CATHERINE, P. C. on Web of Science, SOYJAUDAH, K. M. S. See more information about SOYJAUDAH, K. M. S. on SCOPUS See more information about SOYJAUDAH, K. M. S. on SCOPUS See more information about SOYJAUDAH, K. M. S. on Web of Science
 
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Download PDF pdficon (1,737 KB) | Citation | Downloads: 150 | Views: 453

Author keywords
AWGN channels, block codes, channel coding, error correction codes, parity check codes

References keywords
codes(22), ldpc(18), algorithm(10), information(9), theory(8), communications(8), quasi(4), progressive(4), processing(4), growth(4)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2016-05-31
Volume 16, Issue 2, Year 2016, On page(s): 85 - 92
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2016.02012
Web of Science Accession Number: 000376996100012
SCOPUS ID: 84974834729

Abstract
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Progressive Edge Growth (PEG) constructions are usually based on optimizing the distance metric by using various methods. In this work however, the distance metric is replaced by a different one, namely the betweenness centrality metric, which was shown to enhance routing performance in wireless mesh networks. A new type of PEG construction for Low-Density Parity-Check (LDPC) codes is introduced based on the betweenness centrality metric borrowed from social networks terminology given that the bipartite graph describing the LDPC is analogous to a network of nodes. The algorithm is very efficient in filling edges on the bipartite graph by adding its connections in an edge-by-edge manner. The smallest graph size the new code could construct surpasses those obtained from a modified PEG algorithm - the RandPEG algorithm. To the best of the authors' knowledge, this paper produces the best regular LDPC column-weight two graphs. In addition, the technique proves to be competitive in terms of error-correcting performance. When compared to MacKay, PEG and other recent modified-PEG codes, the algorithm gives better performance over high SNR due to its particular edge and local graph properties.


References | Cited By  «-- Click to see who has cited this paper

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[CrossRef]


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[CrossRef]


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References Weight

Web of Science® Citations for all references: 3,567 TCR
SCOPUS® Citations for all references: 7,229 TCR

Web of Science® Average Citations per reference: 132 ACR
SCOPUS® Average Citations per reference: 268 ACR

TCR = Total Citations for References / ACR = Average Citations per Reference

We introduced in 2010 - for the first time in scientific publishing, the term "References Weight", as a quantitative indication of the quality ... Read more

Citations for references updated on 2017-04-26 19:31 in 409 seconds.




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