Improved fault tolerance of Turbo decoding based on optimized index assignments

This paper investigates the impact of an error-prone buffer memory on a channel decoder as employed in modern digital communication systems. On one hand this work is motivated by the fact that energy efficient decoder implementations may not only be achieved by optimizations on algorithmic level, bu...

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Main Authors: J. Geldmacher, J. Götze
Format: Article
Language:deu
Published: Copernicus Publications 2014-11-01
Series:Advances in Radio Science
Online Access:http://www.adv-radio-sci.net/12/187/2014/ars-12-187-2014.pdf
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spelling doaj-301f752355d54b5c8deb5f8b0ff7e95e2020-11-25T00:34:28ZdeuCopernicus PublicationsAdvances in Radio Science 1684-99651684-99732014-11-011218719510.5194/ars-12-187-2014Improved fault tolerance of Turbo decoding based on optimized index assignmentsJ. Geldmacher0J. Götze1TU Dortmund University, Information Processing Lab, Otto-Hahn-Str. 4, 44227 Dortmund, GermanyTU Dortmund University, Information Processing Lab, Otto-Hahn-Str. 4, 44227 Dortmund, GermanyThis paper investigates the impact of an error-prone buffer memory on a channel decoder as employed in modern digital communication systems. On one hand this work is motivated by the fact that energy efficient decoder implementations may not only be achieved by optimizations on algorithmic level, but also by chip-level modifications. One of such modifications is so called aggressive voltage scaling of buffer memories, which, while achieving reduced power consumption, also injects errors into the likelihood values used during the decoding process. On the other hand, it has been recognized that the ongoing increase of integration density with smaller structures makes integrated circuits more sensitive to process variations during manufacturing, and to voltage and temperature variations. This may lead to a paradigm shift from 100 %-reliable operation to fault tolerant signal processing. Both reasons are the motivation to discuss the required co-design of algorithms and underlying circuits. For an error-prone receive buffer of a Turbo decoder the influence of quantizer design and index assignment on the error resilience of the decoding algorithm is discussed. It is shown that a suitable design of both enables a compensation of hardware induced bits errors with rates up to 1 % without increasing the computational complexity of the decoder.http://www.adv-radio-sci.net/12/187/2014/ars-12-187-2014.pdf
collection DOAJ
language deu
format Article
sources DOAJ
author J. Geldmacher
J. Götze
spellingShingle J. Geldmacher
J. Götze
Improved fault tolerance of Turbo decoding based on optimized index assignments
Advances in Radio Science
author_facet J. Geldmacher
J. Götze
author_sort J. Geldmacher
title Improved fault tolerance of Turbo decoding based on optimized index assignments
title_short Improved fault tolerance of Turbo decoding based on optimized index assignments
title_full Improved fault tolerance of Turbo decoding based on optimized index assignments
title_fullStr Improved fault tolerance of Turbo decoding based on optimized index assignments
title_full_unstemmed Improved fault tolerance of Turbo decoding based on optimized index assignments
title_sort improved fault tolerance of turbo decoding based on optimized index assignments
publisher Copernicus Publications
series Advances in Radio Science
issn 1684-9965
1684-9973
publishDate 2014-11-01
description This paper investigates the impact of an error-prone buffer memory on a channel decoder as employed in modern digital communication systems. On one hand this work is motivated by the fact that energy efficient decoder implementations may not only be achieved by optimizations on algorithmic level, but also by chip-level modifications. One of such modifications is so called aggressive voltage scaling of buffer memories, which, while achieving reduced power consumption, also injects errors into the likelihood values used during the decoding process. On the other hand, it has been recognized that the ongoing increase of integration density with smaller structures makes integrated circuits more sensitive to process variations during manufacturing, and to voltage and temperature variations. This may lead to a paradigm shift from 100 %-reliable operation to fault tolerant signal processing. Both reasons are the motivation to discuss the required co-design of algorithms and underlying circuits. For an error-prone receive buffer of a Turbo decoder the influence of quantizer design and index assignment on the error resilience of the decoding algorithm is discussed. It is shown that a suitable design of both enables a compensation of hardware induced bits errors with rates up to 1 % without increasing the computational complexity of the decoder.
url http://www.adv-radio-sci.net/12/187/2014/ars-12-187-2014.pdf
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AT jgotze improvedfaulttoleranceofturbodecodingbasedonoptimizedindexassignments
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