The ambitious high data-rate applications in the envisioned future beyond fifth-generation
(B5G) wireless networks require new solutions, including the advent of more advanced …

As a complement to high-layer encryption techniques, physical layer security has been
widely recognized as a promising way to enhance wireless security by exploiting the …

Driven by the rapid escalation of the wireless capacity requirements imposed by advanced
multimedia applications (eg, ultrahigh-definition video, virtual reality, etc.), as well as the …

The dramatic success of deep learning is largely due to the availability of data. Data
samples are often acquired on edge devices, such as smartphones, vehicles, and sensors …

We consider the problem of dynamic spectrum access for network utility maximization in
multichannel wireless networks. The shared bandwidth is divided into K orthogonal …

Wireless mediums, such as RF, optical, or acoustical, provide finite resources for the
purposes of remote sensing (such as radar) and data communications. Often, these two …

This paper investigates a deep reinforcement learning (DRL)-based MAC protocol for
heterogeneous wireless networking, referred to as a Deep-reinforcement Learning Multiple …

Cognitive communication model perform the investigation and surveillance of spectrum in
cognitive radio networks abetment in advertent primary users (PUs) and in turn help in …

In this survey paper, we characterize the learning problem in cognitive radios (CRs) and
state the importance of artificial intelligence in achieving real cognitive communications …

Cognitive radio (CR) is the enabling technology for supporting dynamic spectrum access:
the policy that addresses the spectrum scarcity problem that is encountered in many …