NDLI: Cooperative wideband spectrum sensing in cognitive radio based on sparse real-valued fast Fourier transform

Content Provider	IET Digital Library
Author	Khayyeri, Mohammad Mohammadi, Karim
Abstract	The Cognitive Radio (CR) plays a key role in identifying free bandwidths in the Radio Frequency (RF) spectrum. High-speed Analog-to-Digital Converters are normally applied for spectrum sensing of sideband signals providing several raw data for digital signal processors resulted in energy-inefficient complex circuits and hardware resources in digital signal processing blocks. In some instances, the frequency spectrum is sparsely occupied by various users, i.e., only a few active frequency bands exist at the same time. This feature enables CR application to use sub-Nyquist sampling approaches for designing a system representing significantly reduced cost and power consumption, as well as improved processing speed. The current paper introduced a novel Cooperative Real-valued Sparse Spread Spectrum Sensing algorithm (CR4S) based on a sub-Nyquist sampling approach by employing the sparsity of the frequency spectrum and the real-valued properties of the RF signal to identify free bandwidth with minimum computational complexity. The CR4S algorithm aimed at improving CR spectrum sensing by utilizing techniques such as Real-valued FFT, Sparse Fast Fourier Transform, and collaborative spectrum sensing. The proposed algorithm has been approved by simulation to above 95% detection performance. The performance enhancement in the CR4S algorithm is an emerging advance being fascinating for portable CR devices.
Starting Page	1340
Ending Page	1348
Page Count	9
ISSN	17518628
Volume Number	14
e-ISSN	17518636
Issue Number	Issue 8, May (2020)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-com/14/8
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-com.2018.5930
Journal	IET Communications
Publisher Date	2020-02-20
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	A/D And D/A Convertor Active Frequency Band Analogue-Digital Conversion Cognitive Radio Collaborative Spectrum Sensing Computational Complexity Cooperative Communication Cooperative Wideband Spectrum Sensing CR Spectrum Sensing CR4S Algorithm Digital Signal Processing Digital Signal Processing Blocks Digital Signal Processing Chips Digital Signal Processors Energy-inefficient Complex Circuit Fast Fourier Transform Hardware ReSource High-speed Energy-inefficient Analogue-to-digital Converter Improved Processing Speed Integral Transforms Minimum Computational Complexity Portable CR Device Power Aware Computing Radio Link And Equipment Radio Spectrum Management Radiofrequency Spectrum Real-valued Property Real-valued Sparse Spread Spectrum Sensing Algorithm RF Signal Sideband Signal Signal Detection Signal Sampling Sparse FFT Sparse Real-valued Fast Fourier Transform SubNyquist Sampling Approach
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering Computer Science Applications

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