Spectrum Sensing in Cognitive Radio Networks

    Recent research shows that more than 70% of the available spectrum is not utilized efficiently.  The bandwidth becomes expensive due to a shortage of frequencies. Therefore, for efficient utilization of spectrum, we need to sniff the spectrum to determine whether it is being used by primary user or not. The term cognitive radio refers to the adoption of radio parameters using the sensed information of the spectrum. Three major categories of spectrum sensing techniques; transmitter detection, receiver detection and interference temperature detection.
This design presents five techniques as given below for spectrum sensing with a performance analysis of transmitter-based detection techniques.
1.    Matched Filter Detection
2.    Energy Detection
3.    Cyclostationary Feature Detection
4.    Minimizing Sensing Time for Detection
5.    Fuzzy Logic Based Decision
An algorithm for minimizing sensing time has been proposed in which under high SNR values we can minimize sensing time. Its results are also reliable in comparison with other transmitter detection techniques.

A Fuzzy based technique for primary user detection has also been proposed. In comparison with transmitter detection techniques Fuzzy based detection provides good results under low SNR values at the cost of increased in computation time. All simulations are done in MATLAB.

Reference Paper:1 Spectrum Sensing Techniques in Cognitive Radio Networks: A Survey
Author’s Name: Mansi Subhedar and Gajanan Birajdar
Source: International Journal of Next-Generation Networks (IJNGN) Vol.3, No.2
Year: 2011
Reference Paper:2 Fuzzy Logic Based Spectrum Sensing Technique for Cognitive Radio
Author’s Name: Zohaib Mushtaq, Asrar Mahboob, and Ali Hassan
Source: International Journal of Engineering Research and General Science Volume 3, Issue 1,
Year: 2015

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SIMULATION VIDEO DEMO                                                                                                                                     


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