In this work, the volume-based method for spectrum sensing is analyzed, which is able to
provide the desirable properties of constant false-alarm rate, robustness against deviation …

The inability to perfectly know the system noise properties to infinite precision, referred to as
noise uncertainty, results in noise power calibration errors that have been proven to impose …

We consider spectrum sensing in a cognitive radio network with arbitrary numbers of primary
and secondary users. Based on the sphericity test, we first analyze the centralized spectrum …

The unknown noise variance and time-variant fading channels make the spectrum sensing
design a challenging task for cognitive radios. Most existing sensing methods suffer from the …

A new approach to spectrum sensing in cognitive radio systems based on the Kolmogorov-
Smirnov (KS) test is proposed. The KS test is a non-parametric method to measure the …

Sensitivity to noise uncertainty is a fundamental limitation of current spectrum sensing
strategies in detecting the presence/absence of primary users in cognitive radio (CR) …

Energy detection is a promising candidate for spectrum sensing of cognitive radio systems
due to its merits of simplicity and easy implementation. However, energy detection needs to …

The most significant feature that cognitive radio systems must include in order to operate
properly is spectrum sensing. In this paper, we investigate the problem of designing …

It is recently shown that algorithms derived from random matrix theory (RMT) can provide
superior performance for spectrum sensing, which corresponds to the task of detecting the …

Herein, we present a detailed analysis of an eigenvalue-based sensing technique in the
presence of correlated noise in the context of a cognitive radio (CR). We use standard …