DocumentCode :
508013
Title :
Density Evolution and Thresholds for Accumulate Repeat Tree Codes in Mobile Communication Systems
Author :
Yang, Maofan ; Zhou, Hua ; Zhang, Xin ; Yang, Dacheng
Author_Institution :
Wireless Theor. & Technol. Lab. (WT&T), Beijing Univ. of Posts & Telecommun., Beijing, China
Volume :
5
fYear :
2009
fDate :
14-16 Aug. 2009
Firstpage :
393
Lastpage :
397
Abstract :
Channel coding theories are widely used in computer science and communication systems. This paper proposes a novel channel coding scheme called accumulate repeat tree (ART) codes for improving the channel coding performance in mobile communication systems. This class of codes can be viewed as turbo-like codes combining many advantages of turbo codes and low-density parity-check (LDPC) codes. ART codes can be represented by the Bayesian network and Tanner graph, which allows for high-speed iterative decoding implementation using belief-propagation (BP) algorithm. The density evolution method is presented, and the practicable Gaussian approximation algorithm for ART codes to analyze the thresholds and decoding performance is discussed. ART codes have low coding complexity, and they show good performance improvement by simulation.
Keywords :
channel coding; mobile communication; parity check codes; tree codes; turbo codes; Bayesian network; Tanner graph; accumulate repeat tree codes; belief-propagation algorithm; channel coding theories; computer science and communication systems; high-speed iterative decoding; low-density parity-check codes; mobile communication systems; turbo codes; Channel coding; Communication systems; Computer science; Iterative algorithms; Iterative decoding; Mobile communication; Parity check codes; Subspace constraints; Tree graphs; Turbo codes;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Natural Computation, 2009. ICNC '09. Fifth International Conference on
Conference_Location :
Tianjin
Print_ISBN :
978-0-7695-3736-8
Type :
conf
DOI :
10.1109/ICNC.2009.12
Filename :
5364641
Link To Document :
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