Signal Detection in Cognitive Radio Networks over AWGN and Fading Channels

Signal Detection in Cognitive Radio Networks over AWGN and Fading Channels In this paper, we consider the problem of spectrum sensing based on energy detection method in cognitive radio over wireless communication channels when users experiences fading and nonfading effects. The closed-form analytical expressions for the detection probability are derived over nonfading additive white Gaussian noise channel, Rayleigh, Rician and Nakagami-m fading channels. The detection probability involving Marcum-Q function is replaced by closed-form expression. The probability distribution function of fading channels is used to obtain the expressions for detection probability. The new derived numerical results are simulated under various parameters. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png International Journal of Wireless Information Networks Springer Journals

Signal Detection in Cognitive Radio Networks over AWGN and Fading Channels

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Publisher
Springer US
Copyright
Copyright © 2017 by Springer Science+Business Media, LLC
Subject
Engineering; Electrical Engineering
ISSN
1068-9605
eISSN
1572-8129
D.O.I.
10.1007/s10776-017-0376-x
Publisher site
See Article on Publisher Site

Abstract

In this paper, we consider the problem of spectrum sensing based on energy detection method in cognitive radio over wireless communication channels when users experiences fading and nonfading effects. The closed-form analytical expressions for the detection probability are derived over nonfading additive white Gaussian noise channel, Rayleigh, Rician and Nakagami-m fading channels. The detection probability involving Marcum-Q function is replaced by closed-form expression. The probability distribution function of fading channels is used to obtain the expressions for detection probability. The new derived numerical results are simulated under various parameters.

Journal

International Journal of Wireless Information NetworksSpringer Journals

Published: Nov 8, 2017

References

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