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Signal Processing Issues of Spectrum Sensing in Cognitive Radio


Affiliations
1 Vellore Institute of Technology University, Vellore, India
2 Kingston Engineering College, Vellore, India
3 Vellore Institute of Technology University, Vellore, India
     

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The electromagnetic radio spectrum is a natural resource. Effective Utilization of this natural resource is a Challenging task in Present Day Wireless Communication. Cognitive Radio is an emerging trend in wireless communication to Combat for spectral scarcity. Cognitive radio is an intelligent wireless communication system that is aware of its surrounding environment and uses the methodology of learning, and understanding from the environment and adapting to it. Advanced signal processing techniques are used in Cognitive Radio Network to achieve this intelligence. Spectrum Sensing is one of such a signal processing to identify spectrum holes which can be temporarily used without interfering Primary User. Every cognitive radio receiver is incorporated with Spectrum Sensing. There are various existing techniques to detect the spectrum of which some widely used are presented in this thesis.

Keywords

CR-Cognitive Radio, CSD-Cyclic Spectrum Density, PSD-Power Spectrum Density, RF Spectrum-Radio Frequency Spectrum.
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  • Signal Processing Issues of Spectrum Sensing in Cognitive Radio

Abstract Views: 178  |  PDF Views: 3

Authors

J. Christopher Clement
Vellore Institute of Technology University, Vellore, India
N. Sudhakar
Vellore Institute of Technology University, Vellore, India
K. C. Srihari Priya
Kingston Engineering College, Vellore, India
Kishore V. Krishnan
Vellore Institute of Technology University, Vellore, India

Abstract


The electromagnetic radio spectrum is a natural resource. Effective Utilization of this natural resource is a Challenging task in Present Day Wireless Communication. Cognitive Radio is an emerging trend in wireless communication to Combat for spectral scarcity. Cognitive radio is an intelligent wireless communication system that is aware of its surrounding environment and uses the methodology of learning, and understanding from the environment and adapting to it. Advanced signal processing techniques are used in Cognitive Radio Network to achieve this intelligence. Spectrum Sensing is one of such a signal processing to identify spectrum holes which can be temporarily used without interfering Primary User. Every cognitive radio receiver is incorporated with Spectrum Sensing. There are various existing techniques to detect the spectrum of which some widely used are presented in this thesis.

Keywords


CR-Cognitive Radio, CSD-Cyclic Spectrum Density, PSD-Power Spectrum Density, RF Spectrum-Radio Frequency Spectrum.