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MGF-based Analysis of Spectrum Sensing over kFading Channels for 5G Cognitive Networks
Volume PP - IEEE - Institute of Electrical and Electronics Engineers, Inc.

With the development of wireless communication techniques, higher spectrum efficiency is being pursued for the fifth generation (5G) of mobile communication. Cognitive radio (CR) has attracted much attention from industry and academia due to its ability to...

On Covariance Matrix Based Spectrum Sensing Over Frequency-Selective Channels
Volume PP - IEEE - Institute of Electrical and Electronics Engineers, Inc.

This paper concerns covariance matrix based spectrum sensing over frequency selective channels. The impact of frequency selective channels on the covariance matrix of received signals is analyzed in frequency domain and it is shown that the...

Cooperative Wideband Spectrum Sensing Over Fading Channels
2016 Edition, Volume 65, March 1, 2016 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

In cognitive radio (CR) systems, it is crucial for secondary users to reliably detect spectral opportunities across a wide frequency range. This paper studies a novel multirate sub-Nyquist spectrum sensing (MS3) system capable of performing wideband...

Quickest Wideband Spectrum Sensing Over Correlated Channels
2015 Edition, Volume 63, September 1, 2015 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

Quickest spectrum sensing seeks to optimize a balance between two opposing performance measures, one being the delay in identifying spectrum opportunities, and the other being the quality of the decision. The existing spectrum sensing approaches formed...

Quickest spectrum sensing over correlated channels
2015 Edition, June 1, 2015 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

Quickest spectrum sensing seeks to optimize a balance between two opposing performance measures in spectrum sensing, one being the delay in identifying spectrum opportunities, and the other being the quality of the decision. The existing spectrum...

On Covariance Matrix Based Spectrum Sensing Over Frequency-Selective Channels
2018 Edition, Volume 6, January 1, 2018 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

This paper concerns covariance matrix-based spectrum sensing over frequency-selective channels. The impact of frequency-selective channels on the covariance matrix of received signals is analyzed in frequency domain, and it is shown that the...

Optimal spectrum sensing over multipath channels
2012 Edition, June 1, 2012 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

Wireless propagation phenomena including multipath pose significant challenges to reliable spectrum sensing which is a fundamental requirement for dynamic spectrum access and system coexistence. In this paper, an optimal detection technique along with two...

Low-Complexity Subspace-Aided Compressive Spectrum Sensing over Wideband Whitespace
Volume PP - IEEE - Institute of Electrical and Electronics Engineers, Inc.

Compressive sensing (CS) techniques have been proposed for wideband spectrum sensing applications to achieve sub-Nyquist-rate sampling. The complexity of CS recovery algorithm and the detection performance against noise are two of the main challenges...

Optimal cooperative spectrum sensing over composite fading channels
2015 Edition, June 1, 2015 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

In this paper, we study cooperative spectrum sensing over composite fading channels. First, we consider the Mixture of Gaussian distribution to model the composite channel statistics and derive a simple generic approximation for the average...

Cooperative Spectrum Sensing over Mixture-Nakagami Channels
2013 Edition, Volume 2, June 1, 2013 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

We propose novel detectors for cooperative spectrum sensing in mixture-Nakagami fading channels, namely 1) the Neyman-Pearson Detector (NPD), 2) a Locally Optimum Detector for weak signals that exploit the correlation between the observations and...

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