Cognitive radio network (CRN) is a pioneering technology that was developed to improve
efficiency in spectrum utilization. It provides the secondary users with the privilege to …

The rapid technological advancements in the current modern world bring the attention of
researchers to fast and real-time healthcare and monitoring systems. Smart healthcare is …

In recent years, the Internet of Things (IoT) paradigm has gained much popularity due to its
potential ability to integrate the physical world with the digital world. However, this digital …

Cooperative network is a promising concept for achieving a high-accuracy decision of
spectrum sensing in cognitive radio networks. It enables a collaborative exchange of the …

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 presents spectrum sensing as a classification problem, and uses a spectrum-
sensing algorithm based on a signal covariance matrix and long short-term memory network …

In this work, we consider a supervised machine learning-based approach for spectrum
sensing in cognitive radios. The noise process is assumed to follow a generalized Gaussian …

According to the Cisco's white paper for the year 2018-2023, machine-to-machine (M2M)
connections are mentioned as the first fastest growing connections, with a 2.4 fold increase …

Cognitive Radio (CR) technology enables the efficient exploit of radio spectrum by utilizing
existing unused frequencies. Spectrum Sensing is the most important process in CR by …

Due to the propagation characteristics in the 2.5 GHz band, the signal is significantly
degraded by building entry loss (BEL), making coverage in indoor environments in some …