A PEG Construction of LDPC Codes Based on the Betweenness Centrality Metric
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 m...
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Stefan cel Mare University of Suceava
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Online Access: | http://dx.doi.org/10.4316/AECE.2016.02012 |
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doaj-00f54a57f91f48bfb05fe63c2ebc051d2020-11-25T02:02:32ZengStefan cel Mare University of SuceavaAdvances in Electrical and Computer Engineering1582-74451844-76002016-05-01162859210.4316/AECE.2016.02012A PEG Construction of LDPC Codes Based on the Betweenness Centrality MetricBHURTAH-SEEWOOSUNGKUR, I.CATHERINE, P. C.SOYJAUDAH, K. M. S.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.http://dx.doi.org/10.4316/AECE.2016.02012AWGN channelsblock codeschannel codingerror correction codesparity check codes |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
BHURTAH-SEEWOOSUNGKUR, I. CATHERINE, P. C. SOYJAUDAH, K. M. S. |
spellingShingle |
BHURTAH-SEEWOOSUNGKUR, I. CATHERINE, P. C. SOYJAUDAH, K. M. S. A PEG Construction of LDPC Codes Based on the Betweenness Centrality Metric Advances in Electrical and Computer Engineering AWGN channels block codes channel coding error correction codes parity check codes |
author_facet |
BHURTAH-SEEWOOSUNGKUR, I. CATHERINE, P. C. SOYJAUDAH, K. M. S. |
author_sort |
BHURTAH-SEEWOOSUNGKUR, I. |
title |
A PEG Construction of LDPC Codes Based on the Betweenness Centrality Metric |
title_short |
A PEG Construction of LDPC Codes Based on the Betweenness Centrality Metric |
title_full |
A PEG Construction of LDPC Codes Based on the Betweenness Centrality Metric |
title_fullStr |
A PEG Construction of LDPC Codes Based on the Betweenness Centrality Metric |
title_full_unstemmed |
A PEG Construction of LDPC Codes Based on the Betweenness Centrality Metric |
title_sort |
peg construction of ldpc codes based on the betweenness centrality metric |
publisher |
Stefan cel Mare University of Suceava |
series |
Advances in Electrical and Computer Engineering |
issn |
1582-7445 1844-7600 |
publishDate |
2016-05-01 |
description |
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. |
topic |
AWGN channels block codes channel coding error correction codes parity check codes |
url |
http://dx.doi.org/10.4316/AECE.2016.02012 |
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