We consider novel cooperative spectrum sensing (CSS) algorithms based on the pattern
classification techniques for cognitive radio (CR) networks. In this regard, support vector …

The traditional spectrum sensing methods based on second order statistics are in general
not applicable to detecting a primary user with unknown parameters in non-Gaussian …

In this paper, spectrum sensing of an orthogonal frequency division multiplexing (OFDM)
based cognitive radio (CR) is addressed. The goal is to identify the portions of the spectrum …

In cognitive radio (CR) networks, spectrum sensing is a crucial technique for discovering
spectrum opportunities for secondary users (SUs). The quality of spectrum sensing is …

A key component in cognitive radios systems is the spectrum sensing. Cognitive radios are
increasingly being considered to overcome the shortage and inefficiency of current static …

The cognitive radio network (CRN), as a promising technique in future wireless
communication networks, shall execute some critical functionalities to enhance existing …

Spectrum sensing is the most crucial importance in cognitive radios. We propose a novel
machine-learning algorithm for spectrum sensing in cognitive radio networks, which plays …

In this paper, a blind modulation classification method based on compressed sensing using
a high-order cumulant and cyclic spectrum combined with the decision tree–support vector …

This article introduces the application of automatic modulation classification (AMC) algorithm
for the signal sensing and detection of the primary user (PU) in cognitive radio (CR) …