In this paper, a novel deep learning-based robust automatic modulation classification (AMC)
method is proposed for cognitive radio networks. Generally, as network input of AMC …

Implementation of dynamic spectrum access (DSA) in cognitive radio (CR) systems requires
the unlicensed secondary users (SU) to implement spectrum sensing to monitor the activity …

Cognitive radios (CRs) mainly aim to reuse the spectrum holes in order to efficiently utilize
the available scarce radio spectrum. However, current CRs techniques have a throughput …

In this work, the impact and performance of the Coalition Game Theory applied directly to the
detection and decision stages of a Cognitive Radio (CR) system is evaluated. The …

Quality of service (QoS) is a crucial requirement in distributed applications. Internet of Things
architectures have become a widely used approach in many application domains, from …

Using the real wireless spectrum occupancy status in 2.4 and 5 GHz bands collected at a
railway station as representative of a heavy wireless LAN (WLAN) traffic environment, this …

The optimal admission control for secondary users (SUs) using blockchain technology in a
cognitive radio (CR) network is investigated in this paper. When an SU comes to the system …

This work proposes a Spectrum Sensing (SS) scheme based on a Convolutional
Autoencoder (CAE) for application in Cognitive Radio Networks. The channel occupancy is …

With the remarkable advancements in wireless technology, the scarcity of the available
spectrum has become more severe. Cognitive Radio (CR) technology is introduced as an …

Cognitive radio is considered a relevant communication paradigm to deal with the
increasing demands in modern communications systems. Adaptive schemes are required to …