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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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 |
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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 |
work_keys_str_mv |
AT jgeldmacher improvedfaulttoleranceofturbodecodingbasedonoptimizedindexassignments AT jgotze improvedfaulttoleranceofturbodecodingbasedonoptimizedindexassignments |
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