Automatic modulation recognition (AMR) detects the modulation scheme of the received
signals for further signal processing without needing prior information, and provides the …

Since the emergence of 5G technology, the wireless communication system has had a huge
data throughput, so the joint development of artificial intelligence technology and wireless …

In recent years, the increasing popularity of unmanned aerial vehicles (UAVs) has arisen
from the emergence of cutting-edge technologies deployed in small and low-cost devices …

This article focuses on automatic modulation classification (AMC) in wireless communication
systems. A convolutional neural network (CNN) with three layers is introduced for the AMC …

With the advancement and widespread implementation of multiple-input multiple-output
(MIMO) wireless communication systems over the last decade, space-time block coding …

Despite the substantial success of deep learning for Automatic Modulation Classification
(AMC), models trained on a specific transmitter configuration and channel model often fail to …

The future age of optical networks demands autonomous functions to optimize available
resources. With autonomy, the communication network should be able to learn and adapt to …

The Automatic Modulation Classification (AMC) approach is utilized to determine the nature
of modulation. It is a significant job for intelligent receivers, essential components of future …

Radio signal recognition is a crucial task in both civilian and military applications, as
accurate and timely identification of unknown signals is an essential part of spectrum …

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