Abstract
The decoding of LDPC codes using the turbo-decoding message-passing strategy is considered. This strategy can be used with different SISO message computation kernels. We analyze the suitability for VLSI implementation of various message computation algorithms in terms of implementation area, energy consumption and error-correcting performance. As one of the computation kernels, we introduce the recent Self-Corrected Min-Sum algorithm and show the advantages it brings from an energy efficiency perspective. We present comparisons among the studied kernels implemented in a 65nm CMOS process and use a test case from the codes defined in IEEE 802.11n to show differences in energy efficiency.
| Original language | English |
|---|---|
| Title of host publication | Proceedings - 17th IFIP International Conference on Very Large Scale Integration, VLSI-SoC 2009 |
| Publisher | IEEE Computer Society |
| Pages | 95-100 |
| Number of pages | 6 |
| ISBN (Print) | 9781457702365 |
| DOIs | |
| Publication status | Published - 1 Jan 2009 |
| Event | 17th IFIP International Conference on Very Large Scale Integration, VLSI-SoC 2009 - Florianopolis, Brazil Duration: 12 Oct 2009 → 14 Oct 2009 |
Publication series
| Name | Proceedings - 17th IFIP International Conference on Very Large Scale Integration, VLSI-SoC 2009 |
|---|
Conference
| Conference | 17th IFIP International Conference on Very Large Scale Integration, VLSI-SoC 2009 |
|---|---|
| Country/Territory | Brazil |
| City | Florianopolis |
| Period | 12/10/09 → 14/10/09 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
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