DocumentCode
3107389
Title
Design of systematic LDPC codes using density evolution based on tripartite graph
Author
Ning, Jun ; Yuan, Jinhong
Author_Institution
Univ. of New South Wales, Kensington
fYear
2008
fDate
Jan. 30 2008-Feb. 1 2008
Firstpage
150
Lastpage
155
Abstract
In this paper we consider the design of systematic low-density parity-check (LDPC) codes using density evolution. We show that systematic LDPC codes can be well represented by tripartite graphs, where the edges in the code graph are divided into two types, source edges and redundancy edges. Using the tripartite code graph representation, we consider the degree distributions for source edges and redundancy edges separately. In particular, we discuss the necessary conditions for the two types of edges to be viewed as a single type in terms of specifying the LDPC codes properly. Then we discuss the relationship between the conventional bipartite graph representation and the tripartite graph representation. For the design of systematic LDPC codes, we show that the tripartite representation can specify the ensembles that are not available for the bipartite representation. Furthermore, we show that codes optimized by deploying the tripartite representation can achieve better performance with respect to the bipartite representation.
Keywords
graph theory; parity check codes; bipartite graph representation; density evolution; systematic LDPC code design; systematic LDPC codes; systematic low-density parity-check codes; tripartite code graph representation; tripartite graphs; Australia; Bipartite graph; Concatenated codes; Decoding; Memoryless systems; Message passing; Noise level; Parity check codes; Probability density function; Redundancy;
fLanguage
English
Publisher
ieee
Conference_Titel
Communications Theory Workshop, 2008. AusCTW 2008. Australian
Conference_Location
Christchurch
Print_ISBN
978-1-4244-2038-4
Electronic_ISBN
978-1-4244-2038-4
Type
conf
DOI
10.1109/AUSCTW.2008.4460838
Filename
4460838
Link To Document