Automatic modulation classification (AMC) is a key step of signal demodulation that
determines whether the receiver can correctly receive the transmitted signal without prior …

Automatic modulation classification (AMC), which aims to blindly identify the modulation type
of an incoming signal at the receiver in wireless communication systems, is a fundamental …

Automatic modulation classification (AMC) is an important stage in intelligent wireless
communication receivers. It is a necessary process after signal detection, and before …

This paper introduces a deep learning (DL)-based Automatic Modulation Classification
(AMC) model. Our model is considered to be a receiver with a modulation classifier that is …

The advent of the 5G mobile network has brought a lot of benefits. However, it prompted new
challenges on the 5G network cybersecurity defense system, resource management …

In this work, the deep learning (DL)-based fifth-generation (5G) non-orthogonal multiple
access (NOMA) detector is investigated over the independent and identically distributed (iid) …

The evolving 5G and beyond 5G (B5G) wireless technologies are envisioned to provide
ubiquitous connectivity and great heterogeneity in communication infrastructure by …

A scalable and computationally efficient framework is designed to fingerprint real-world
Bluetooth devices. We propose an embedding-assisted attentional framework (Mbed-ATN) …

Automatic modulation categorization (AMC) is used in many applications such as cognitive
radio, adaptive communication, electronic reconnaissance, and non-cooperative …

Channel estimation is essential in a Multiple Input Multiple Output (MIMO) wireless
communication in 5G. In the MIMO system, numerous antennas are utilized on the sender …