Title :
Efficient iterative LP decoding of LDPC codes with alternating direction method of multipliers
Author :
Xiaojie Zhang ; SIEGEL, Peter H.
Author_Institution :
Samsung R&D America, Dallas, TX, USA
Abstract :
In this paper, we propose an efficient message-passing algorithm to solve the LP decoding problem. This algorithm is based on the alternating direction method of multipliers (ADMM), a classic technique in convex optimization theory that is designed for parallel implementation. The computational complexity of ADMM-based LP decoding is largely determined by the method used to project a vector of real values to the parity polytope of a given parity check. The key contribution of this paper is a novel, efficient projection algorithm that can substantially improve the decoding speed of the ADMM-based LP decoder.
Keywords :
iterative decoding; linear programming; parity check codes; LDPC code; alternating direction metho; computational complexity; convex optimization theory; decoding speed; iterative LP decoding; message passing algorithm; parallel implementation; projection algorithm; Decoding; Iterative decoding; Optimization; Projection algorithms; TV; Vectors;
Conference_Titel :
Information Theory Proceedings (ISIT), 2013 IEEE International Symposium on
Conference_Location :
Istanbul
DOI :
10.1109/ISIT.2013.6620477