DocumentCode :
640122
Title :
Achieving the AWGN channel capacity with lattice Gaussian coding
Author :
Cong Ling ; Belfiore, Jean-Claude
Author_Institution :
Dept. of Electr. & Electron. Eng., Imperial Coll. London, London, UK
fYear :
2013
fDate :
7-12 July 2013
Firstpage :
1416
Lastpage :
1420
Abstract :
We propose a new coding scheme using only one lattice that, under lattice decoding, achieves the 1/2 log(1 + SNR) capacity of the additive white Gaussian noise (AWGN) channel, when the signal-to-noise ratio SNR > 3. The scheme applies a discrete Gaussian distribution over an AWGN-good lattice, but does not require a shaping lattice or dither. Thus, it significantly simplifies the default lattice coding scheme of Erez and Zamir which additionally involves a quantization-good lattice. Using the flatness factor, we show that the error probability of the proposed scheme under minimum mean-square error (MMSE) lattice decoding is almost the same as that of Poltyrev´s coding over an infinite lattice, for any rate up to the AWGN channel capacity.
Keywords :
AWGN channels; encoding; mean square error methods; AWGN channel capacity; MMSE lattice decoding; additive white Gaussian noise; coding scheme; discrete Gaussian distribution; flatness factor; lattice Gaussian coding; minimum mean-square error; signal-to-noise ratio SNR; AWGN channels; Decoding; Encoding; Error probability; Gaussian distribution; Lattices; Signal to noise ratio;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Theory Proceedings (ISIT), 2013 IEEE International Symposium on
Conference_Location :
Istanbul
ISSN :
2157-8095
Type :
conf
DOI :
10.1109/ISIT.2013.6620460
Filename :
6620460
Link To Document :
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