DocumentCode
3604136
Title
On the Encoding Complexity of Quasi-Cyclic LDPC Codes
Author
Mahdi, Ahmed ; Paliouras, Vassilis
Author_Institution
Electr. & Comput. Eng. Dept., Univ. of Patras, Patras, Greece
Volume
63
Issue
22
fYear
2015
Firstpage
6096
Lastpage
6108
Abstract
In this paper, we propose a parity check matrix (PCM) construction technique that reduces the encoding complexity of quasi-cyclic (QC)-LDPC codes. The proposed construction method is based on a constraint selection of shifting factors, shown here to reduce the density of an inverted matrix used in several encoding algorithms. Furthermore, it demonstrates that the complexity of encoding schemes involving inverted matrices, can be defined by the density of the small inverted binary base matrix and not by the extended QC-PCM. Comparisons of the proposed codes with codes employed in international standards and with randomly shifted QC-LDPC codes of comparable characteristics, show the low complexity of the corresponding hardware implementations and a BER performance equivalent to that of previously reported codes without increasing the decoding complexity. Furthermore, adoption of the proposed method can decrease the complexity of several encoding procedures; in particular, an area reduction of 40%-55% is reported for QC-LDPC encoders, while a reduction of 86% is reported for Multi-Level-QC-LDPC encoders.
Keywords
error statistics; matrix algebra; parity check codes; BER performance; PCM construction technique; QC-LDPC codes; encoding complexity; low-density parity-check codes; parity check matrix construction technique; quasi-cyclic LDPC codes; small inverted binary base matrix; Bit error rate; Complexity theory; Decoding; Encoding; Hardware; Parity check codes; Phase change materials; BER performance; LDPC encoding; density reduction; encoding complexity; hardware architecture; matrix inversion; quasi-cyclic LDPC;
fLanguage
English
Journal_Title
Signal Processing, IEEE Transactions on
Publisher
ieee
ISSN
1053-587X
Type
jour
DOI
10.1109/TSP.2015.2463258
Filename
7174548
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