Imperial College London
Alternate

DrCongLing

Faculty of Engineering, Department of Electrical and Electronic Engineering

Reader in Coding and Information Theory
 
 
 
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Contact

 

+44 (0)20 7594 6214c.ling

 
 
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Location

 

815Electrical EngineeringSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Ling:2014:10.1109/TIT.2014.2332343,
author = {Ling, C and Belfiore, J-C},
doi = {10.1109/TIT.2014.2332343},
journal = {IEEE Transactions on Information Theory},
pages = {5918--5929},
title = {Achieving AWGN channel capacity with lattice gaussian coding},
url = {http://dx.doi.org/10.1109/TIT.2014.2332343},
volume = {60},
year = {2014}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - We propose a new coding scheme using only one lattice that achieves the 1/2 log(1 + SNR) capacity of the additive white Gaussian noise (AWGN) channel with lattice decoding, which is provable for signal-to-noise ratio SNR > e at present. The scheme applies a discrete Gaussian distribution over an AWGN-good lattice, but otherwise does not require a shaping lattice or dither. Thus, it significantly simplifies the default lattice coding scheme of Erez and Zamir which involves a quantization good lattice as well as an AWGN-good lattice. Using the flatness factor, we show that the error probability of the proposed scheme under minimum mean-square error lattice decoding is almost the same as that of Erez and Zamir, for any rate up to the AWGN channel capacity. We introduce the notion of good constellations, which carry almost the same mutual information as that of continuous Gaussian inputs. We also address the implementation of Gaussian shaping for the proposed lattice Gaussian coding scheme.
AU  - Ling,C
AU  - Belfiore,J-C
DO  - 10.1109/TIT.2014.2332343
EP  - 5929
PY  - 2014///
SN  - 0018-9448
SP  - 5918
TI  - Achieving AWGN channel capacity with lattice gaussian coding
T2  - IEEE Transactions on Information Theory
UR  - http://dx.doi.org/10.1109/TIT.2014.2332343
UR  - http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000342416900007&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
UR  - https://ieeexplore.ieee.org/document/6841610
VL  - 60
ER  -
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