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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Proceedings ArticleDOI
The effect of additional statistical side information on multiple antenna spectrum sensing
TL;DR: The multiple spectrum sensing problem is solved using a novel approach in which the the detection and estimation sub-problems considered jointly are considered jointly and the resulted detectors are optimal under finite number of samples.
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Non‐orthogonal multiple access‐aided MIMO cognitive radio networks with selective reporting
TL;DR: In this article , the authors investigated the performance of cooperative sensing and superior selective reporting (SSR) based cooperative sensing schemes in a multiple-input, multiple-output (MIMO)-aided non-orthogonal multiple access (NOMA)-driven cognitive radio (CR) networks.
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Interference Management in Cognitive Radio Satellite Networks based on Time and Spectrum Sensing
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Impact of Antenna Correlation on Optimum Improved Energy Detector in Cognitive Radio
TL;DR: It is inferred that, in low SNR regime, the effect of antenna correlation is less pronounced on the optimum p, and the optimum values of p and threshold jointly that minimize the total error rate are found.
Proceedings ArticleDOI
Higher order eigenvalue-moment-ratio based blind spectrum sensing: Application to cognitive radio
TL;DR: In this paper, a modified version of Eigenvalue moment ratio (EMR) spectrum sensing based on random matrix theory (RMT) is proposed to provide superior performance in small sample environment, where the number of samples received by secondary is comparable to number of antennas.
References
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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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