Cognitive radio network is considered as an ideal answer to the spectrum utilization problem
of the current era. In cognitive radio, spectrum sensing has created new opportunities, as it …

The detection of primary user signals is essential for optimum utilization of a spectrum by
secondary users in cognitive radio (CR). The conventional spectrum sensing schemes have …

In cognitive radio network, the licensed spectrum for the primary user can be accessed in an
opportunistic manner by secondary user, or unlicensed user. As a key technology of …

Spectrum sensing is a vital element of cognitive radio networks. It's the basis for unlicensed
users to access underutilized bands without disturbing licensed or primary users (PUs) …

Spectrum sensing is a key technology for cognitive radios. We present spectrum sensing as
a classification problem and propose a sensing method based on deep learning …

In order to identify and make use of unused, underused frequency bands, cognitive radio
(CR) makes extensive use of spectrum sensing (SS). Successful implementations of CR rely …

Over the past two decades, communication technologies have advanced significantly, but
the growing use of various communication methods has led to a shortage of available …

In cognitive radio, spectrum sensing is used to determine whether the primary user is using
the spectrum based on the signal received on a specific frequency band, thereby …

In this paper, we propose to use deep reinforcement learning (DRL) for the task of
cooperative spectrum sensing (CSS) in a cognitive radio network. We selected a recently …

The detection of primary user signals is essential for optimum utilization of a spectrum by
secondary users in cognitive radio (CR). The conventional spectrum sensing schemes have …