A low-complexity turbo decoder architecture for energy-efficient wireless sensor networks


Li, Liang, Maunder, Robert G., Al-Hashimi, Bashir and Hanzo, Lajos (2013) A low-complexity turbo decoder architecture for energy-efficient wireless sensor networks. IEEE Transactions on Very Large Scale Integration (VLSI) Systems, 21, (1), 14-22. (doi:10.1109/TVLSI.2011.2177104).

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Description/Abstract

Turbo codes have recently been considered for energy-constrained wireless communication applications, since they facilitate a low transmission energy consumption. However, in order to reduce the overall energy consumption, Look-Up- Table-Log-BCJR (LUT-Log-BCJR) architectures having a low processing energy consumption are required. In this paper, we decompose the LUT-Log-BCJR architecture into its most fundamental Add Compare Select (ACS) operations and perform them using a novel low-complexity ACS unit. We demonstrate that our architecture employs an order of magnitude fewer gates than the most recent LUT-Log-BCJR architectures, facilitating a 71% energy consumption reduction. Compared to state-of- the-art Maximum Logarithmic Bahl-Cocke-Jelinek-Raviv (Max- Log-BCJR) implementations, our approach facilitates a 10% reduction in the overall energy consumption at ranges above 58 m.

Item Type: Article
ISSNs: 1063-8210 (print)
1557-9999 (electronic)
Keywords: energy-efficient, error-correcting code, turbo code, Log-BCJR algorithm
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Faculty of Physical Sciences and Engineering > Electronics and Computer Science > Comms, Signal Processing & Control
Faculty of Physical Sciences and Engineering > Electronics and Computer Science > Electronic & Software Systems
ePrint ID: 271820
Date Deposited: 20 Dec 2010 15:32
Last Modified: 14 Apr 2014 11:34
Research Funder: EPSRC
Projects:
Channel Decoder Architectures for Energy-Constrained Wireless Communication Systems: Holistic Approach
Funded by: EPSRC (EP/J015520/1)
Led by: Robert G. Maunder
12 October 2012 to 11 October 2015
Contact Email Address: ll08r@ecs.soton.ac.uk
Further Information:Google Scholar
ISI Citation Count:0
URI: http://eprints.soton.ac.uk/id/eprint/271820

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