English

Low Density Lattice Codes

Information Theory 2007-07-13 v1 math.IT

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, where H, the inverse of G, 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 ~0.5dB from capacity at block length of n = 100,000 symbols. The paper also discusses convergence results and implementation considerations.

Keywords

Cite

@article{arxiv.0704.1317,
  title  = {Low Density Lattice Codes},
  author = {Naftali Sommer and Meir Feder and Ofir Shalvi},
  journal= {arXiv preprint arXiv:0704.1317},
  year   = {2007}
}

Comments

24 pages, 4 figures. Submitted for publication in IEEE transactions on Information Theory