DocumentCode :
1543157
Title :
Approximate Gaussian Density Evolution Based Analysis of Distributed and Adaptive Turbo Codes
Author :
Lin, Rui ; Martin, Philippa A. ; Taylor, Desmond P.
Author_Institution :
Department of Electrical and Computer Engineering, University of Canterbury, Christchurch, New Zealand
Volume :
60
Issue :
8
fYear :
2012
fDate :
8/1/2012 12:00:00 AM
Firstpage :
2156
Lastpage :
2166
Abstract :
In this paper, the non-selective Decode-and-Forward (DF) scheme proposed in is analyzed using approximate Gaussian density evolution (DE). Based on the DE analysis, performance is shown to be improved by adaptively changing the transmit code at the relay node in response to the channel conditions. Simulation results show that the proposed adaptive scheme improves performance, particularly when the relay is closer to the destination than to the source. In addition, the adaptive scheme does not increase network overhead.
Keywords :
Approximation methods; Decoding; Iterative decoding; Random variables; Relays; Signal to noise ratio; Turbo codes; Approximate Gaussian density evolution; decode and forward; distributed communication system; turbo codes;
fLanguage :
English
Journal_Title :
Communications, IEEE Transactions on
Publisher :
ieee
ISSN :
0090-6778
Type :
jour
DOI :
10.1109/TCOMM.2012.061212.110453
Filename :
6220220
Link To Document :
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