Research Article
Naveen Solanki · Mrs. Madhvi Singh Bhanwar
Journal
International Journal of Digital Applications and Contemporary Research (IJDACR)
ISSN
2319-4863
Volume / Issue
Vol.7 · Issue 9
Published
April 2019
Access
Open Access
Licence
CC BY-NC-SA 4.0
Spectrum sensing plays an influential role in detecting white spaces present in the spectrum. So, the spectrum sensing algorithm will help the secondary user (SU) to detect spectrum holes precisely. Here energy detection (ED) spectrum sensing technique is used. Energy detection spectrum sensing with single threshold has been widely researched in the past. The interference between the primary user (PU) and secondary user (SU) was more in energy detection with a single threshold, therefore, the collision rate was much high. So, to minimize the collision rate and improve the probability of detection (P_d), this paper proposes a double threshold based energy detection spectrum sensing algorithm to increase the performance of cognitive radio networks. Simulation results validate the importance of research on the basis of the probability of detection (P_d), probability of miss detection (P_m), collision rate and signal-to-noise ratio.
Naveen Solanki, Mrs. Madhvi Singh Bhanwar (2019). Double Threshold Based Energy Detection for Spectrum Sensing in Cognitive Radio Networks. International Journal of Digital Applications and Contemporary Research (IJDACR), Vol.7, Issue 9. ISSN: 2319-4863.
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