Artificial Intelligence (AI) and especially Machine Learning (ML) can play a very important
role in realizing and optimizing 6G network applications. In this paper, we present a brief …

Cognitive Radio Networks (CRNs) have been proposed as a solution to the problem of
spectrum scarcity in wireless communication systems. CRNs allow for dynamic spectrum …

The rapid advancement of wireless communication combined with insufficient spectrum
exploitation opens the door for the expansion of novel wireless services. Cognitive radio …

With the increase in the number of communication devices, the requirement for higher
bandwidth is essential. To achieve this goal, research and industrial communities have both …

Cognitive radio (CR) network has emerged as a potential solution to the under-utilization
problem of the allocated radio spectrum, where spectrum sensing (SS) plays a key role to …

In this work, a novel multiband spectrum sensing technique is implemented in the context of
cognitive radios. This technique is based on multiresolution analysis (wavelets), machine …

Vehicular ad hoc network (VANET) has been established to mitigate road collisions and
traffic congestion and provide infotainment facilities to users. Allocated channels to VANET …

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 radio is one of the most promising technologies due to the spectrum scarcity,
especially in the microwave band. Spectrum sensing forms an essential functionality for CR …

In cooperative mobile communications, spectrum sensing performance may encounter
difficulties, which alert with many reporting errors, especially in dense network scenarios. In …