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References (26)
-
Ghurumuruhan Ganesan, Geoffrey Li (2007)
Cooperative Spectrum Sensing in Cognitive Radio, Part I: Two User NetworksIEEE Transactions on Wireless Communications, 6
-
E Axell, E Larsson (2011)
Optimal and sub-optimal spectrum sensing of OFDM signals in known and unknown noise varianceIEEE Journal of Selected Areas in Communications, 29
-
F. Digham, Mohamed-Slim Alouini, M. Simon (2007)
On the Energy Detection of Unknown Signals Over Fading ChannelsIEEE Transactions on Communications, 55
-
Abbas Taherpour, Y. Norouzi, M. Nasiri-Kenari, A. Jamshidi, Z. Zeinalpour-Yazdi (2007)
Asymptotically optimum detection of primary user in cognitive radio networksIET Commun., 1
-
Academic PressSan Diego, 2014. to his credit. Also he has published papers in IET Communications -
S. András, Á. Baricz, Yin Sun (2010)
The generalized Marcum $Q-$function: an orthogonal polynomial approachArXiv, abs/1010.3348
-
D. Shnidman (1989)
The calculation of the probability of detection and the generalized Marcum Q-functionIEEE Trans. Inf. Theory, 35
-
(2002)
Spectrum Policy Task Force -
A. Rao, Mohamed-Slim Alouini (2011)
Performance of Cooperative Spectrum Sensing over Non-Identical Fading EnvironmentsIEEE Transactions on Communications, 59
-
R. Pridham, H. Urkowitz (1968)
Comment on "Energy detection of unknown deterministic signals", 56
-
M Abramowitz, IA Stegun (1974)
Handbook of Mathematical Functions with Formulas, Graphs, and Mathematical Tables -
J. Mararm
Energy Detection of Unknown Deterministic Signals -
Vesh Banjade, Nandana Rajatheva, C. Tellambura (2012)
Performance Analysis of Energy Detection with Multiple Correlated Antenna Cognitive Radio in Nakagami-m FadingIEEE Communications Letters, 16
-
Hongjian Sun, D. Laurenson, Chengxiang Wang (2010)
Computationally Tractable Model of Energy Detection Performance over Slow Fading ChannelsIEEE Communications Letters, 14
-
E. Axell, E. Larsson
Linköping University Post Print Optimal and Sub-optimal Spectrum Sensing of Ofdm Signals in Known and Unknown Noise Variance Optimal and Sub-optimal Spectrum Sensing of Ofdm Signals in Known and Unknown Noise Variance -
S. Haykin (2005)
Cognitive radio: brain-empowered wireless communicationsIEEE Journal on Selected Areas in Communications, 23
-
V. Kostylev (2002)
Energy detection of a signal with random amplitude2002 IEEE International Conference on Communications. Conference Proceedings. ICC 2002 (Cat. No.02CH37333), 3
-
Omar Altrad, S. Muhaidat (2013)
A new mathematical analysis of the probability of detection in cognitive radio over fading channelsEURASIP Journal on Wireless Communications and Networking, 2013
-
Kyouwoong Kim, I. Akbar, K. Bae, Jungsun Um, C. Spooner, Jeffrey Reed (2007)
Cyclostationary Approaches to Signal Detection and Classification in Cognitive Radio2007 2nd IEEE International Symposium on New Frontiers in Dynamic Spectrum Access Networks
-
IS Gradshteyn, IM Ryzhik (2014)
Tables of Integrals, Series, and Products -
E. Yousif, E. Alsusa (2012)
On the Performance of Energy Detection Using Bartlett's Estimate for Spectrum Sensing in Cognitive Radio SystemsIEEE Transactions on Signal Processing, 60
-
S Haykin (2005)
Cognitive radio: brain-empowered wireless communicationsIEEE Transactions on Communications, 23
-
A. Ghasemi, E. Sousa (2007)
Opportunistic Spectrum Access in Fading Channels Through Collaborative SensingJ. Commun., 2
-
M. Abramowitz, I. Stegun, David Miller (1965)
Handbook of Mathematical Functions With Formulas, Graphs and Mathematical Tables (National Bureau of Standards Applied Mathematics Series No. 55)Journal of Applied Mechanics, 32
-
K. Ruttik, K. Koufos, R. Jäntti (2009)
Detection of Unknown Signals in a Fading EnvironmentIEEE Communications Letters, 13
-
(2013)
Energy detection based spectrum sensing over kl and kl extreme fading channels
- Publisher
- Springer Journals
- Copyright
- Copyright © 2017 by Springer Science+Business Media, LLC
- Subject
- Engineering; Electrical Engineering
- ISSN
- 1068-9605
- eISSN
- 1572-8129
- DOI
- 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 Networks – Springer Journals
Published: Nov 8, 2017