The aim of this systematic review was to identify the correlations between spectrum sensing,
clustering algorithms, and energy-harvesting technology for cognitive-radio-based internet …

Unlicensed cognitive-radio (CR)-assisted Internet of Vehicles (IoV) users can access
licensed providers' radio spectrum and concurrently utilize the dedicated channel for data …

As we advance towards 6G communication systems, the number of network devices
continues to increase resulting in spectrum scarcity. With the help of Spectrum Sensing (SS) …

The advent of the 5G mobile network has brought a lot of benefits. However, it prompted new
challenges on the 5G network cybersecurity defense system, resource management …

Water is a vital component of life that exists in a variety of forms, including oceans, rivers,
ponds, streams, and canals. The automated methods for detecting, segmenting, and …

Primary user (PU) signal detection or classification is a critical component of cognitive radio
(CR) related wireless communication applications. In CR, the PU detection methods are …

A cognitive radio network (CRN) is integrated with the Internet of Connected Vehicles (IoCV)
in order to address spectrum scarcity and communication reliability issues. However, it is …

Noise uncertainty can severely deteriorate a primary user (PU) detector's sensing
performance, so robustness against the noise uncertainty is of fundamental significance in …

The advancements in machine vision have opened up new avenues for implementing
multimodal biometric identification systems for real-world applications. These systems can …

This paper addresses the problem of distributed dynamic spectrum access in a cognitive
radio (CR) environment utilizing deep recurrent reinforcement learning. Specifically, the …