Open AccessCSS using Energy Detector in AWGN and Flat-Fading Channels in Cognitive Radio Networks: A Complete Analysis
Author(s) -
Mrs. Aparna Singh Kushwah,
Vineeta Saxeigam
Publication year - 2020
Publication title -
international journal of recent technology and engineering
Language(s) - English
Resource type - Journals
ISSN - 2277-3878
DOI - 10.35940/ijrte.f9593.038620
Subject(s) - cognitive radio , additive white gaussian noise , fading , detector , matlab , computer science , energy (signal processing) , spectrum (functional analysis) , electronic engineering , algorithm , telecommunications , channel (broadcasting) , statistics , mathematics , physics , engineering , wireless , quantum mechanics , operating system
In this work, various spectrum sensing methods and algorithms are analyzed and their performance is been evaluated based on the different values of probabilities as obtained through MATLAB simulations. The work is been started from the analysis of the simplest single user sensing to advanced cooperative spectrum sensing and is further extended to CSS in AWGN noise and flat-fading channels. The results indicates that advanced cooperative spectrum sensing gives much better sensing decisions as compared to the results obtained by simulating single user sensing method. Simulation results obtained shows that Pd increases with Pf and also shows good values for SNR more than 0 dB. Also the Pd increases from 0.7 to 0.84 as we go from single user detection to CSS.