DocumentCode :
2856536
Title :
A simple proof of threshold saturation for coupled vector recursions
Author :
Yedla, Arvind ; Yung-Yih Jian ; Nguyen, Phong S. ; Pfister, Henry D.
Author_Institution :
Dept. of Electr. & Comput. Eng., Texas A&M Univ., College Station, TX, USA
fYear :
2012
fDate :
3-7 Sept. 2012
Firstpage :
25
Lastpage :
29
Abstract :
Convolutional low-density parity-check (LDPC) codes (or spatially-coupled codes) have now been shown to achieve capacity on binary-input memoryless symmetric channels. The principle behind this surprising result is the threshold-saturation phenomenon, which is defined by the belief-propagation threshold of the spatially-coupled ensemble saturating to a fundamental threshold defined by the uncoupled system. Previously, the authors demonstrated that potential functions can be used to provide a simple proof of threshold saturation for coupled scalar recursions. In this paper, we present a simple proof of threshold saturation that applies to a wide class of coupled vector recursions. The conditions of the theorem are verified for the density-evolution equations of: (i) joint decoding of irregular LDPC codes for a Slepian-Wolf problem with erasures, (ii) joint decoding of irregular LDPC codes on an erasure multiple-access channel, and (iii) admissible protograph codes on the BEC. This proves threshold saturation for these systems.
Keywords :
convolutional codes; decoding; parity check codes; Slepian-Wolf problem; admissible protograph codes; belief-propagation threshold; binary-input memoryless symmetric channels; convolutional low-density parity-check codes; coupled scalar recursions; coupled vector recursions; decoding; density-evolution equations; erasure multiple-access channel; irregular LDPC codes; spatially-coupled codes; spatially-coupled ensemble; threshold saturation; uncoupled system; Conferences; Convolutional codes; Couplings; Iterative decoding; Vectors; convolutional LDPC codes; density evolution; potential functions; spatial coupling; threshold saturation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Theory Workshop (ITW), 2012 IEEE
Conference_Location :
Lausanne
Print_ISBN :
978-1-4673-0224-1
Electronic_ISBN :
978-1-4673-0222-7
Type :
conf
DOI :
10.1109/ITW.2012.6404671
Filename :
6404671
Link To Document :
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