{"title":"Low Density Lattice Codes","authors":"N. Sommer, M. Feder, O. Shalvi","doi":"10.1109/ISIT.2006.261680","DOIUrl":null,"url":null,"abstract":"Low density lattice codes (LDLC) are novel lattice codes that can approach the capacity of the additive white Gaussian noise (AWGN) channel and be decoded efficiently. 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 = 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","PeriodicalId":92224,"journal":{"name":"International Symposium on Information Theory and its Applications. International Symposium on Information Theory and its Applications","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2006-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"187","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Symposium on Information Theory and its Applications. International Symposium on Information Theory and its Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISIT.2006.261680","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 187
Abstract
Low density lattice codes (LDLC) are novel lattice codes that can approach the capacity of the additive white Gaussian noise (AWGN) channel and be decoded efficiently. 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 = 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