@inproceedings{6cbe891a598f4d2581852cd732d16727,
title = "Performance comparison of Energy and Cyclostationary Spectrum detection in cooperative cognitive radios network",
abstract = "Spectrum sensing is one of the highly researched and focused area in cooperative cognitive networks. Energy and Cyclostationary Spectrum detection are the mostly used and efficient spectrum sensing techniques to detect the presence or absence of the primary user and to avoid interference. In this paper, the performance of Energy and Cyclostationary spectrum detection over Rayleigh, Nakagami and Additive White Gaussian Noise (AWGN) channel environment is analyzed by considering cooperative cognitive radio networks using Amplify-and-Forward (AF) relaying scheme. Optimum cognitive relays locations have been considered between Primary Base Station (PBS) and Fusion Center (FC) wherein results have been obtained for probabilities of detection and false alarm. The analysis is made, using Monte Carlo Simulation, for two cognitive relays based cooperative network with Maximal Ration Combining on receiver side.",
keywords = "AWGN, Cooperative Cognitive Network, MRC, Nakagami Channel, Probability of Detection, Probability of False Alarm, Rayleigh Channel",
author = "Zhenyu Liu and Rafaqat Ali and Imran Khan and Khan, {Ibrar Ali} and Shah, {Abrar Ali}",
note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 2016 IEEE International Symposium on Circuits and Systems, ISCAS 2016 ; Conference date: 22-05-2016 Through 25-05-2016",
year = "2016",
month = jul,
day = "29",
doi = "10.1109/ISCAS.2016.7538903",
language = "English",
series = "Proceedings - IEEE International Symposium on Circuits and Systems",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1734--1737",
booktitle = "ISCAS 2016 - IEEE International Symposium on Circuits and Systems",
address = "United States",
}