The spectrum sensing is a key process of the cognitive radio technology in which the
cognitive users identify the unutilized/underutilized primary users (PUs)/licensed users …

Wireless communication demands rapidly increase due to the increase of Internet of Things
applications, which leads researchers to build secondary networks that exploit the spectrum …

An appropriate threshold selection scheme is one of the main components to adjudicate the
performance of energy detection spectrum sensing (EDSS) technique for cognitive radio …

As cognitive radio networks are being used as a method which helps in determining the
spectrum vacancy and utilize the spectrum efficiently, spectrum sensing is one of the key …

Software Defined Radio (SDR)-powered cognitive radio network architectures are likely to
play a prominent role in future 5G networks. Cognitive Radio (CR) and SDR appear to be …

Spectrum resources are becoming extremely scarce in modern wireless communication.
However, the majority of the currently available spectrum resources have not been fully …

In cognitive radio networks, Spectrum sensing is most important task for avoiding the
unacceptable interference to primary users. The performance of spectrum sensing is based …

The artificial neural network (ANN) is proposed to the cooperative spectrum sensing (CSS)
at CR network. ANN has the drawback that the training of ANN with many hidden layers on …

Spectrum sensing is a fundamental stage in cognitive radio networks. The eigenvalue-
based spectrum sensing is an optimum blind sensing scheme for sensing of correlated …

In Cognitive Radio networks, Secondary Users, or unlicensed users, are able to access the
licensed spectrum in an opportunistic manner. For this reason, Spectrum Sensing can be …