Automatic modulation classification (AMC) is a promising technology to identify the
modulation mode of the received signal in drone communication systems. Recently …

Automatic modulation classification (AMC) is a signal processing technology used to identify
the modulation type of unknown signals without prior information such as modulation …

Automatic modulation classification (AMC) is one of the most important technologies in
various communication systems, including drone communications. It can be applied to …

Nowadays, automatic modulation classification (AMC) has become a key component of next-
generation drone communication systems, which are crucial for improving communication …

Due to the computing capability and memory limitations, it is difficult to apply the traditional
deep learning (DL) models to the edge devices (EDs) for realizing automatic modulation …

Automatic modulation classification (AMC) is a technology that identifies a modulation
scheme without prior signal information and plays a vital role in various applications …

To deal with the deep learning-based automatic modulation classification (AMC) in the
scenario that the training dataset are distributed over a network without gathering the data at …

In this paper, we investigate the deep learning applications of radio automatic modulation
recognition (AMR) applications in unmanned aerial vehicle (UAV)-to-ground AMR systems …

Deep learning (DL)-based automatic modulation classification (AMC) has made
breakthroughs and is generally used for signal detection and recognition in wireless …

Deep learning has recently attracted much attention due to its excellent performance in
processing audio, image, and video data. However, few studies are devoted to the field of …