The Parallel Algorithm Based on Genetic Algorithm for Improving the Performance of Cognitive Radio
Joint Authors
Liu, Miao
Sun, Zhenxing
Jie, Zhang
Source
Wireless Communications and Mobile Computing
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-6, 6 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-03-12
Country of Publication
Egypt
No. of Pages
6
Main Subjects
Information Technology and Computer Science
Abstract EN
The intercarrier interference (ICI) problem of cognitive radio (CR) is severe.
In this paper, the machine learning algorithm is used to obtain the optimal interference subcarriers of an unlicensed user (un-LU).
Masking the optimal interference subcarriers can suppress the ICI of CR.
Moreover, the parallel ICI suppression algorithm is designed to improve the calculation speed and meet the practical requirement of CR.
Simulation results show that the data transmission rate threshold of un-LU can be set, the data transmission quality of un-LU can be ensured, the ICI of a licensed user (LU) is suppressed, and the bit error rate (BER) performance of LU is improved by implementing the parallel suppression algorithm.
The ICI problem of CR is solved well by the new machine learning algorithm.
The computing performance of the algorithm is improved by designing a new parallel structure and the communication performance of CR is enhanced.
American Psychological Association (APA)
Liu, Miao& Sun, Zhenxing& Jie, Zhang. 2018. The Parallel Algorithm Based on Genetic Algorithm for Improving the Performance of Cognitive Radio. Wireless Communications and Mobile Computing،Vol. 2018, no. 2018, pp.1-6.
https://search.emarefa.net/detail/BIM-1216117
Modern Language Association (MLA)
Liu, Miao…[et al.]. The Parallel Algorithm Based on Genetic Algorithm for Improving the Performance of Cognitive Radio. Wireless Communications and Mobile Computing No. 2018 (2018), pp.1-6.
https://search.emarefa.net/detail/BIM-1216117
American Medical Association (AMA)
Liu, Miao& Sun, Zhenxing& Jie, Zhang. The Parallel Algorithm Based on Genetic Algorithm for Improving the Performance of Cognitive Radio. Wireless Communications and Mobile Computing. 2018. Vol. 2018, no. 2018, pp.1-6.
https://search.emarefa.net/detail/BIM-1216117
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1216117
