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 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 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 …

Identification of the type of communication technology and/or modulation scheme based on
detected radio signal are challenging problems encountered in a variety of 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 …

Deep learning (DL) has been widely applied in automatic modulation classification (AMC),
while the superb performance highly depends on high-quality datasets. Motivated by this …

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 lightweight automatic …