Technology of Network & Communication
|
1828-1830,1835

Truncated overlap scheduling Viterbi decoding algorithm based on CUDA

Li Chenjie
Wang Zhixu
College of Telecommunications & Information Engineering, Nanjing University of Posts & Telecommunications, Nanjing 210003, China

Abstract

In order to solve the bottleneck problem of channel decoding in high-throughput communication systems, this paper proposed a truncated overlap Viterbi decoder based on CUDA for convolutional codes to solve it by analyzing of parallel processing based on compute unified device architecture(CUDA) and exploring of the parallel implementation of Viterbi decoding. The algorithm performed both independent forward metrics computing and back-track procedure in parallel through the overlapping of truncated sub-grid. The experiment shows that the method keeps low BER, achieves a performance improvement of 1.3~3.5 times of the existing implementation and reduces hardware consumption. It can be effectively used in practical high-throughput communication systems.

Publish Information

DOI: 10.19734/j.issn.1001-3695.2017.12.0794
Publish at: Application Research of Computers Printed Article, Vol. 36, 2019 No. 6
Section: Technology of Network & Communication
Pages: 1828-1830,1835
Serial Number: 1001-3695(2019)06-047-1828-03

Publish History

[2019-06-05] Printed Article

Cite This Article

李晨杰, 王志旭. 一种基于CUDA的截断重叠维特比译码算法 [J]. 计算机应用研究, 2019, 36 (6): 1828-1830,1835. (Li Chenjie, Wang Zhixu. Truncated overlap scheduling Viterbi decoding algorithm based on CUDA [J]. Application Research of Computers, 2019, 36 (6): 1828-1830,1835. )

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Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

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