DocumentCode
1401623
Title
Averaging bounds for lattices and linear codes
Author
Loeliger, Hans-Andrea
Author_Institution
Endora Tech AG, Basel, Switzerland
Volume
43
Issue
6
fYear
1997
fDate
11/1/1997 12:00:00 AM
Firstpage
1767
Lastpage
1773
Abstract
General random coding theorems for lattices are derived from the Minkowski-Hlawka theorem and their close relation to standard averaging arguments for linear codes over finite fields is pointed out. A new version of the Minkowski-Hlawka theorem itself is obtained as the limit, for p→∞, of a simple lemma for linear codes over GF(p) used with p-level amplitude modulation. The relation between the combinatorial packing of solid bodies and the information-theoretic “soft packing” with arbitrarily small, but positive, overlap is illuminated. The “soft-packing” results are new. When specialized to the additive white Gaussian noise channel, they reduce to (a version of) the de Buda-Poltyrev result that spherically shaped lattice codes and a decoder that is unaware of the shaping can achieve the rate 1/2 log2 (P/N)
Keywords
Gaussian channels; amplitude modulation; combinatorial mathematics; decoding; information theory; lattice theory; linear codes; modulation coding; Minkowski-Hlawka theorem; additive white Gaussian noise channel; averaging bounds; combinatorial packing; de Buda-Poltyrev result; decoder; finite fields; general random coding theorems; information-theoretic soft packing; lattices; linear codes; p-level amplitude modulation; rate; shaping; solid bodies; spherically shaped lattice codes; standard averaging; AWGN; Additive white noise; Block codes; Code standards; Convolutional codes; Decoding; Error probability; Galois fields; Lattices; Linear code;
fLanguage
English
Journal_Title
Information Theory, IEEE Transactions on
Publisher
ieee
ISSN
0018-9448
Type
jour
DOI
10.1109/18.641543
Filename
641543
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