Training a machine learning model with federated edge learning (FEEL) is typically time
consuming due to the constrained computation power of edge devices and the limited …

Cognitive communication model perform the investigation and surveillance of spectrum in
cognitive radio networks abetment in advertent primary users (PUs) and in turn help in …

Spectrum sensing is critically important for cognitive radio, an emerging solution to the
spectrum congestion and low usage of licensed spectrum. Energy detection is a promising …

Background Cockroaches have been described as potential vectors for various pathogens
for decades; although studies from neonatal intensive care units are scarce. This study …

Green communications is an inevitable trend for future communication network design,
especially for a cognitive radio network. Power allocation strategies are of crucial …

This paper investigates the use of full duplex relaying (FDR) in cognitive radio systems.
Cognitive full duplex relay networks (CogFRNs) offer the advantage not only of increasing …

In order to achieve better statistical Quality-of-Service (QoS) provisioning for cognitive radio
networks (CRN), in this paper, we develop a hybrid underlay/overlay transmission mode for …

In the recent years, wireless applications and services have grown tremendously, resulting
to a shortage of radio spectrum. On one hand, most of the available radio spectrum has …

We investigate the ergodic uplink resource allocation problem for secure communication in
relay-assisted orthogonal frequency-division multiple access (OFDMA)-based cognitive …

Wideband sensing-based cognitive radio with simultaneous wireless information and power
transfer can be designed for efficient spectrum and energy usage. We first aim to maximize …