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 …

We present an automatic signal modulation classification model using combinatorial deep
learning technique. Our proposed deep learning model increase accuracy for low Signal-to …

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 …

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 …

Artificial Intelligence-based Automatic Modulation Classification has recently garnered
significant attention due to advancements in AI technology. It has greatly improved signal …

Modulation recognition is an important research branch in the field of communication, which
is widely used in civil and military fields. The classic methods depend on decision theory …

Automatic modulation recognition (AMR) methods used in advanced wireless
communications systems can identify unknown signals without requiring reference …

Automatic modulation classification (AMC) based on data-driven deep learning (DL) can
achieve excellent classification performance. However, in the field of electronic …