Intelligent electromagnetic signature recognition is one of the key technologies in Internet of
Things (IoT) device connection, which can improve system security and speed up the …

Deep learning (DL)-based automatic modulation classification (AMC) is a primary research
field for identifying modulation types. However, traditional DL-based AMC approaches rely …

Automatic modulation classification (AMC) is a crucial technique for the design of intelligent
transceivers and has received considerable research attention. Conventional feature-based …

This paper focuses on the parameter estimation problem in wireless sensor networks
(WSNs) under adversarial attacks, considering the complexities of sensing and …

With the increasing popularity of Internet of things (IoT), the emergence of many IoT devices
has led to security vulnerabilities. The classification of wireless signals is very important for …

The development of wireless communication technology has led to the underutilization of
radio spectra. To address this limitation, an intelligent cognitive radio network was …

Radio frequency machine learning (RFML) can be loosely termed as a field that machine
learning (ML) and deep learning (DL) techniques to applications related to wireless …

For the next‐generation Wi‐Fi systems, the Enhanced Multilink Single‐Radio (EMLSR)
operation has become a promising feature to improve the Wi‐Fi system performance. The …

In wireless communication, the demand for communication services is increasing while the
spectrum resources remain limited. This leads to a shortage of spectrum resources, which in …

The rapid development of network technology has brought great convenience to people's
daily life in recent years. The application of network technology in finance, economy, and …