Title :
Upper bounds on the rate of LDPC codes as a function of minimum distance
Author :
Ben-Haim, Yael ; Litsyn, Simon
Author_Institution :
Dept. of Electr. Eng.-Syst., Tel-Aviv Univ., Ramat-Aviv, Israel
fDate :
5/1/2006 12:00:00 AM
Abstract :
New upper bounds on the rate of low-density parity-check (LDPC) codes as a function of the minimum distance of the code are derived. The bounds apply to regular LDPC codes, and sometimes also to right-regular LDPC codes. Their derivation is based on combinatorial arguments and linear programming. The new bounds improve upon the previous bounds due to Burshtein et al. It is proved that at least for high rates, regular LDPC codes with full-rank parity-check matrices have worse relative minimum distance than the one guaranteed by the Gilbert-Varshamov bound.
Keywords :
combinatorial mathematics; linear programming; minimum principle; parity check codes; LDPC; combinatorial argument; linear programming; low-density parity-check code; minimum distance; AWGN; Additive white noise; Block codes; Entropy; Iterative decoding; Linear code; Linear programming; Parity check codes; Sparse matrices; Upper bound; Distance distribution; linear programming; low-density parity-check (LDPC) codes; minimum distance;
Journal_Title :
Information Theory, IEEE Transactions on
DOI :
10.1109/TIT.2006.872972