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  5. Shaping low-density lattice codes using Voronoi integers

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Article
English
2014

Shaping low-density lattice codes using Voronoi integers

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English
2014
2022 IEEE Information Theory Workshop (ITW)
DOI: 10.1109/itw.2014.6970806

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Matti Latva-aho
Matti Latva-aho

University Of Oulu

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Nuwan S. Ferdinand
Brian M. Kurkoski
Behnaam Aazhang
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Abstract

A lattice code construction that employs two separate lattices, a high dimension lattice for coding gain and a low-dimension lattice for shaping gain, is described. Systematic lattice encoding is a method to encode an integer sequence to a lattice point that is nearby that integer sequence. We describe the "Voronoi integers" ℤ <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">m</sup> /Λ <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">s</sub> , the set of integers inside the fundamental Voronoi region of a shaping lattice Λ <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">s</sub> , and a concrete scheme to label these integers. By first shaping the information using the Voronoi integers in low dimension, and then performing systematic lattice encoding using a high-dimension lattice, good shaping and coding gains can be simultaneously obtained. We concentrate on the case of using the E <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">8</sub> lattice for shaping and low-density lattice codes (LDLC) with dimension ~ 10,000 for coding. While optimal shaping provides a well-known 1.53 dB gain, previously reported shaping gains with LDLC lattices are on the order of 0.4 dB. The proposed method preserves the shaping gain of the E <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">8</sub> lattice, that is, as much as 0.65 dB. This shaping operation can be implemented with lower complexity than previous LDLC approaches.

How to cite this publication

Nuwan S. Ferdinand, Brian M. Kurkoski, Behnaam Aazhang, Matti Latva-aho (2014). Shaping low-density lattice codes using Voronoi integers. 2022 IEEE Information Theory Workshop (ITW), pp. 127-131, DOI: 10.1109/itw.2014.6970806.

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Publication Details

Type

Article

Year

2014

Authors

4

Datasets

0

Total Files

0

Language

English

Journal

2022 IEEE Information Theory Workshop (ITW)

DOI

10.1109/itw.2014.6970806

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