The Optimization Algorithm for CR System Based on Optimal Wavelet Filter
Joint Authors
Liu, Miao
Sun, Zhenxing
Liu, Yan-chang
Zhao, Cun
Source
Wireless Communications and Mobile Computing
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-6, 6 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-01-14
Country of Publication
Egypt
No. of Pages
6
Main Subjects
Information Technology and Computer Science
Abstract EN
5G network is a heterogeneous large-scale network.
Cognitive Radio (CR) technology can be used to realize selection based on the communication time, communication resources, and communication requirement so as to improve the system performance of the whole communication system.
Cognitive Radio (CR) system based on wavelet packet owns better flexibility and bandwidth efficiency.
The optimal wavelet packet filter optimization algorithm is proposed in the paper for guaranteeing un-licensed user’s (un-LU) data transmission rate and optimizing the performance of system.
The intelligent search algorithm is used to obtain the optimal wavelet filter.
The simulation results show that the Intercarrier Interference (ICI) and bit error rate (BER) performance of the new optimal wavelet filter algorithm without sacrificing any un-LU’s subcarriers is better than other three masking subcarriers algorithms.
American Psychological Association (APA)
Liu, Miao& Sun, Zhenxing& Liu, Yan-chang& Zhao, Cun. 2019. The Optimization Algorithm for CR System Based on Optimal Wavelet Filter. Wireless Communications and Mobile Computing،Vol. 2019, no. 2019, pp.1-6.
https://search.emarefa.net/detail/BIM-1212079
Modern Language Association (MLA)
Liu, Miao…[et al.]. The Optimization Algorithm for CR System Based on Optimal Wavelet Filter. Wireless Communications and Mobile Computing No. 2019 (2019), pp.1-6.
https://search.emarefa.net/detail/BIM-1212079
American Medical Association (AMA)
Liu, Miao& Sun, Zhenxing& Liu, Yan-chang& Zhao, Cun. The Optimization Algorithm for CR System Based on Optimal Wavelet Filter. Wireless Communications and Mobile Computing. 2019. Vol. 2019, no. 2019, pp.1-6.
https://search.emarefa.net/detail/BIM-1212079
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1212079
