The explosive popularity of small-cell and Internet of Everything devices has tremendously
increased traffic loads. This increase has revolutionised the current network into 5G …

This article focuses on the issue of cooperative spectrum sensing (CSS) in a mobile energy-
harvesting cognitive radio network (EH-CRN), where secondary transmitters (STs) are …

In this paper, new enhanced cognitive radio networks (E-CRNs) based on spectrum sharing
(SS) and spectrum aggregation (SA) are proposed for fifth generation (5G) wireless …

This paper addresses the spectrum sensing problem in an orthogonal frequency-division
multiplexing (OFDM) system based on machine learning. To adapt to signal-to-noise ratio …

In this paper, we investigate the performance of energy detection-based spectrum sensing
over F composite fading channels. To this end, an analytical expression for the average …

A new end‐to‐end communication system is proposed to increase transmission speed,
robustness, and security in order to meet the requirements of mobile systems that know an …

In this paper, we present a survey on the utility of machine learning (ML) algorithms for
applications in cognitive radio networks (CRN). We start with a high-level overview of some …

This paper proposes a new spectrum sensing technique, referred to as autonomous
compressive sensing (CS)-augmented spectrum sensing, which can be developed to …

This paper presents a comparative performance evaluation of energy detector (ED) under
the assumption that the propagation signal experiences fading modeled by the nonlinear …

Spectrum scarcity is a challenging problem in wireless communications: high data rates are
needed to support 5G new technologies. However, the spectrum is underutilized. To …