In the past ten years, many high-quality datasets have been released to support the rapid
development of deep learning in the fields of computer vision, voice, and natural language …

With the development of the Internet of Things (IoT), the IoT devices are increasing day by
day, resulting in increasingly scarce spectrum resources. At the same time, many IoT …

Automatic modulation classification (AMC) is an essential and indispensable topic in the
development of cognitive radios. It is the cornerstone of adaptive modulation and …

Automatic modulation recognition (AMR) technique plays an important role in the
identification of modulation types of unknown signal of integrated sensing and …

Automatic modulation classification (AMC) is to identify the modulation type of a received
signal, which plays a vital role to ensure the physical-layer security for Internet of Things …

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 letter, we introduce CGDNet, a cost-efficient hybrid neural network composed of a
shallow convolutional network, a gated recurrent unit, and a deep neural network, for robust …

With the continuous development of communication technology, the wireless communication
environment becomes more and more complex with various intentional and unintentional …

Many machine learning frameworks have been proposed and used in wireless
communications for realizing diverse goals. However, their incapability of adapting to …

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 …