DocumentCode
40914
Title
Low-Density Parity-Check Codes from Transversal Designs with Improved Stopping Set Distributions
Author
Gruner, Alexander ; Huber, Marco
Author_Institution
Wilhelm Schickard Inst. for Comput. Sci., Eberhard Karls Univ. Tubingen, Tubingen, Germany
Volume
61
Issue
6
fYear
2013
fDate
Jun-13
Firstpage
2190
Lastpage
2200
Abstract
This paper examines the construction of low-density parity-check (LDPC) codes from transversal designs based on sets of mutually orthogonal Latin squares (MOLS). By transferring the concept of configurations in combinatorial designs to the level of Latin squares, we thoroughly investigate the occurrence and avoidance of stopping sets for the arising codes. Stopping sets are known to determine the decoding performance over the binary erasure channel and should be avoided for small sizes. Based on large sets of simple-structured MOLS, we derive powerful constraints for the choice of suitable subsets, leading to improved stopping set distributions for the corresponding codes. We focus on LDPC codes with column weight 4, but the results are also applicable for the construction of codes with higher column weights. Finally, we show that a subclass of the presented codes has quasi-cyclic structure which allows low-complexity encoding.
Keywords
channel coding; decoding; parity check codes; set theory; LDPC codes; Latin squares; MOLS; arising codes; binary erasure channel; combinatorial designs; complexity encoding; decoding performance; improved stopping set distributions; low density parity check codes; mutually orthogonal Latin squares; powerful constraints; quasi cyclic structure; set distributions; transversal designs; Channel coding; Decoding; Geometry; Iterative decoding; Signal to noise ratio; Low-density parity-check (LDPC) code; binary erasure channel (BEC); mutually orthogonal latin squares (MOLS); stopping set; transversal design;
fLanguage
English
Journal_Title
Communications, IEEE Transactions on
Publisher
ieee
ISSN
0090-6778
Type
jour
DOI
10.1109/TCOMM.2013.09.120441
Filename
6510023
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