Title :
Low-Density Lattice Codes
Author :
Sommer, Naftali ; Feder, Meir ; Shalvi, Ofir
Author_Institution :
Tel-Aviv Univ., Tel-Aviv
fDate :
4/1/2008 12:00:00 AM
Abstract :
Low-density lattice codes (LDLC) are novel lattice codes that can be decoded efficiently and approach the capacity of the additive white Gaussian noise (AWGN) channel. In LDLC a codeword x is generated directly at the n-dimensional Euclidean space as a linear transformation of a corresponding integer message vector b, i.e., x = Gb-1, where H = G-1 is restricted to be sparse. The fact that H is sparse is utilized to develop a linear-time iterative decoding scheme which attains, as demonstrated by simulations, good error performance within ~0.5 dB from capacity at block length of n =100,000 symbols. The paper also discusses convergence results and implementation considerations.
Keywords :
AWGN channels; codes; iterative decoding; Euclidean space; additive white Gaussian noise channel; integer message vector; linear transformation; linear-time iterative decoding; low-density lattice codes; low-density parity-check code; AWGN channels; Additive white noise; Channel capacity; Convolutional codes; Information theory; Iterative decoding; Lattices; Linear code; Parity check codes; Vectors; Iterative decoding; lattice codes; lattices; low-density parity-check (LDPC) code;
Journal_Title :
Information Theory, IEEE Transactions on
DOI :
10.1109/TIT.2008.917684