Journal ArticleDOI
Multiple antenna spectrum sensing in cognitive radios
TLDR
The simulation results provide the available traded-off in using multiple antenna techniques for spectrum sensing and illustrates the robustness of the proposed GLR detectors compared to the traditional energy detector when there is some uncertainty in the given noise variance.Abstract:
In this paper, we consider the problem of spectrum sensing by using multiple antenna in cognitive radios when the noise and the primary user signal are assumed as independent complex zero-mean Gaussian random signals. The optimal multiple antenna spectrum sensing detector needs to know the channel gains, noise variance, and primary user signal variance. In practice some or all of these parameters may be unknown, so we derive the generalized likelihood ratio (GLR) detectors under these circumstances. The proposed GLR detector, in which all the parameters are unknown, is a blind and invariant detector with a low computational complexity. We also analytically compute the missed detection and false alarm probabilities for the proposed GLR detectors. The simulation results provide the available traded-off in using multiple antenna techniques for spectrum sensing and illustrates the robustness of the proposed GLR detectors compared to the traditional energy detector when there is some uncertainty in the given noise variance.read more
Citations
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Journal ArticleDOI
Multiantenna-Cognitive-Radio-Based Blind Spectrum Sensing under Correlated Signals and Unequal Signal and Noise Powers
TL;DR: In this paper , the performance of two blind non-cooperative and cooperative spectrum sensing (CSS) under fading channels was investigated, and it was shown that the generalized likelihood ratio test (GLRT) outperformed CFCPSC independently of correlation, number of antennas, or CRs.
Proceedings ArticleDOI
SFET-Based Multiple Antenna Spectrum Sensing Using the Second Order Moments of Eigenvalues
TL;DR: Simulation results show that the proposed detector outperforms the state-of-art eigenvalue- based detectors because of using the second order moments of the SCM eigenvalues.
Proceedings ArticleDOI
Spectrum sensing with energy detection under fast and slow multipath fading
Borzoo Rassouli,Ali Olfat +1 more
TL;DR: This paper considers the fast and slow multipath fading scenarios in which the coherence time of the channel between primary transmitter and secondary receiver is compared to the sensing time, and proposes a simple method to solve the optimization problem in the slow fading scenario.
Dissertation
Enhanced Dynamic Frequency Hopping Performance in Cognitive Radio IEEE 802.22 Standard
TL;DR: An enhanced scheme for the operation of the Dynamic Frequency Hopping (DFH) technique in the IEEE 802.22 standard for WRANs, aimed at protecting the licensed users from interfering with the cognitive broadband access in the TV spectrum.
Journal ArticleDOI
A Reliable Spectrum Sensing Strategy Based on Multiple-Antenna Technique
Shou Tao Lv,Zeyang Dai,Jian Liu +2 more
TL;DR: A reliable spectrum sensing strategy based on multiple-antenna technique, called RSS-MAT, to combat the channel uncertainties is proposed and the closed-form expressions of the false alarm probability and detection probability are derived.
References
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Journal ArticleDOI
Cognitive radio: brain-empowered wireless communications
TL;DR: Following the discussion of interference temperature as a new metric for the quantification and management of interference, the paper addresses three fundamental cognitive tasks: radio-scene analysis, channel-state estimation and predictive modeling, and the emergent behavior of cognitive radio.
Proceedings Article
Wireless communications
TL;DR: This book aims to provide a chronology of key events and individuals involved in the development of microelectronics technology over the past 50 years and some of the individuals involved have been identified and named.
Journal ArticleDOI
Detection of signals by information theoretic criteria
Mati Wax,Thomas Kailath +1 more
TL;DR: Simulation results that illustrate the performance of the new method for the detection of the number of signals received by a sensor array are presented.
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