Title :
Numerical Comparison of IP Formulations as ML Decoders
Author :
Tanatmis, Akin ; Ruzika, Stefan ; Punekar, Mayur ; Kienle, Frank
Author_Institution :
Dept. of Math., Univ. of Kaiserslautern, Kaiserslautern, Germany
Abstract :
For binary linear codes with short and medium block length ML decoding can be achieved by solving the associated integer programming (IP) problem with a general purpose solver. IP also offers algorithms for computing the minimum distance. In this article, we present several IP formulations and computationally compare them on various LDPC and BCH codes. Most of these formulations are obtained by forcing integrality on linear programming (LP) decoding formulations proposed in the literature.
Keywords :
BCH codes; binary codes; integer programming; linear codes; linear programming; maximum likelihood decoding; parity check codes; BCH codes; IP formulations; LDPC codes; binary linear codes; block length ML decoding; integer programming problem; linear programming decoding formulations; Bipartite graph; Communications Society; Kernel; Linear code; Linear programming; Mathematics; Maximum likelihood decoding; Microelectronics; Parity check codes; Vectors;
Conference_Titel :
Communications (ICC), 2010 IEEE International Conference on
Conference_Location :
Cape Town
Print_ISBN :
978-1-4244-6402-9
DOI :
10.1109/ICC.2010.5502303