Spectrum Sensing (SS) plays an essential role in Cognitive Radio (CR) networks to
diagnose the availability of frequency resources. In this paper, we aim to provide an in-depth …

Artificial intelligence (AI) and machine learning (ML) techniques have huge potential to
efficiently manage the automated operation of the internet of things (IoT) nodes deployed in …

The cognitive industrial Internet of Things (CIIoT) can improve transmission performance by
utilizing the spectrum licensed to a primary user (PU), providing that the normal …

In cognitive radio networks, the empty spectrum that is also named as spectrum hole is
detected with the help of spectrum sensing techniques. Energy detection is the most utilized …

Abstract The 3rd Generation Partnership Project (3GPP) has specified the 5G Authentication
and Key Agreement (5G AKA) protocol for handover authentication. However, this protocol is …

The deployment of many base stations within a small network coverage area can potentially
increase network capacities. However, this implies frequent handoffs as the users move …

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 …

Cognitive radios are expected to play an important role in capturing the constantly growing
traffic interest on remote networks. To improve the usage of the radio range, a cognitive …

Wireless networks are very significant in the present world owing to their widespread use
and its application in domains like disaster management, smart cities, IoT etc. A wireless …

Cognitive Radio (CR) is a wireless communication system that is used for intelligent vehicles
to solve spectrum scarcity and improve the utilization of the spectrum. However, spectrum …