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Conference paper Open Access

Low-complexity Computational Units for the Local-SOVA Decoding Algorithm

Weithoffer, S.; Klaimi, R.; Nour, C.; Wehn, N.; Douillard, C.

Recently the Local-SOVA algorithm was suggested as an alternative to the max-Log MAP algorithm commonly used for decoding Turbo codes. In this work, we introduce new complexity reductions to the Local-SOVA algorithm, which allow an efficient implementation at a marginal BER penalty of 0.05 dB. Furthermore, we present the first hardware architectures for the computational units of the Local-SOVA algorithm, namely for the add-compare select unit and the soft output unit, targeting radix orders 2, 4 and 8.We provide place & route implementation results for 28nm technology and demonstrate an area reduction of 46 􀀀 75% for the soft output unit for radix orders 4 in comparison with the respective max-Log MAP soft output unit. These area reductions compensate for the overhead in the add compare select unit, resulting in overall area saving of around 27􀀀46% compared to the max-Log-MAP. These savings simplify the design and implementation of high throughput Turbo decoders.

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Publication date:
September 16, 2020
DOI:
10.5281/zenodo.4032412

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Keyword(s):
Local-SOVA Turbo codes Soft-input soft-ouput decoding Soft-ouput Viterbi algorithm High-radix decoding
Grants:
European Commission:
  • EPIC - Enabling Practical Wireless Tb/s Communications with Next Generation Channel Coding (760150)
Meeting:
IEEE International Symposium on Personal, Indoor and Mobile Radio Communications 2020 -Workshop on Enabling Technologies for Terahertz Communications (ETTCOM), Aug 31, 2020 – Sep 3, 2020
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License (for files):
Creative Commons Attribution 4.0 International

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