RETRACTED ARTICLE: Research on fine grained software radio communication algorithm based on GPU parallel processing technology

With the development of information technology and the progress of science and technology, broadband wireless communication is changing people’s way of life. Traditional software radio communication algorithms can’t meet high speed and efficient data processing requirements, and GPU parallel process...

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Veröffentlicht in:Cluster computing Jg. 22; H. Suppl 2; S. 3925 - 3934
Hauptverfasser: Ji, Yancheng, Zhang, Xiao, Zhang, Guoan, Hu, Jingjing
Format: Journal Article
Sprache:Englisch
Veröffentlicht: New York Springer US 01.03.2019
Springer Nature B.V
Schlagworte:
Computer Communication Networks
Computer Science
Operating Systems
Processor Architectures
Parallel processing
Communication algorithm
GPU
Software radio
ISSN:1386-7857, 1573-7543
Online-Zugang:Volltext
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Zusammenfassung:With the development of information technology and the progress of science and technology, broadband wireless communication is changing people’s way of life. Traditional software radio communication algorithms can’t meet high speed and efficient data processing requirements, and GPU parallel processing technology arises at the historic moment. Based on this, starting with GPU and CPU, the relationship between parallel and serial operation was studied. According to the characteristics of GPU with high performance, high bandwidth, high parallelism and programmable architecture, the principle of parallel Turbo algorithm in GPU is discussed. The turbo decoding algorithm is studied from both MAP and SOVA, and the total structure of the GPU decoder based on GPU and the subroutine thread distribution are proposed. And the result shows that GPU parallel processing technology based on the fine grained software radio communication algorithm, not only increases the granularity of fine-grained parallel particles, but also improves the operation speed.
Bibliographie:ObjectType-Correction/Retraction-1
SourceType-Scholarly Journals-1
content type line 14
ISSN:1386-7857
1573-7543
DOI:10.1007/s10586-018-2542-z