DocumentCode
3247461
Title
On the convergence speed of spatially coupled LDPC ensembles
Author
Aref, Vahid ; Schmalen, Laurent ; ten Brink, Stephan
Author_Institution
Sch. of Inf. & Commun., EPFL Lausanne, Lausanne, Switzerland
fYear
2013
fDate
2-4 Oct. 2013
Firstpage
342
Lastpage
349
Abstract
Spatially coupled low-density parity-check codes show an outstanding performance under the low-complexity belief propagation (BP) decoding algorithm. They exhibit a peculiar convergence phenomenon above the BP threshold of the underlying non-coupled ensemble, with a wave-like convergence propagating through the spatial dimension of the graph, allowing to approach the MAP threshold. We focus on this particularly interesting regime in between the BP and MAP thresholds. On the binary erasure channel, it has been proved [1] that the information propagates with a constant speed toward the successful decoding solution. We derive an upper bound on the propagation speed, only depending on the basic parameters of the spatially coupled code ensemble such as degree distribution and the coupling factor w. We illustrate the convergence speed of different code ensembles by simulation results, and show how optimizing degree profiles helps to speed up the convergence.
Keywords
belief networks; maximum likelihood decoding; parity check codes; BP decoding algorithm; BP thresholds; MAP thresholds; binary erasure channel; convergence speed; low-complexity belief propagation decoding algorithm; low-density parity-check codes; noncoupled ensemble; spatially coupled LDPC ensembles; spatially coupled code; wave-like convergence; Convergence; Equations; Iterative decoding; Mathematical model; Sockets; Upper bound; Spatially coupled LDPC ensembles; belief propagation; convergence speed; density evolution;
fLanguage
English
Publisher
ieee
Conference_Titel
Communication, Control, and Computing (Allerton), 2013 51st Annual Allerton Conference on
Conference_Location
Monticello, IL
Print_ISBN
978-1-4799-3409-6
Type
conf
DOI
10.1109/Allerton.2013.6736544
Filename
6736544
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