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 …

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 …

Specific emitter identification (SEI) plays an increasingly crucial and potential role in both
military and civilian scenarios. It refers to a process to discriminate individual emitters from …

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 …

Specific emitter identification (SEI) plays an important role in secure Industrial Internet of
Things (IIoT). In recent years, many SEI methods based on machine learning (ML) and deep …

Automatic modulation classification (AMC) identifies a received signal's modulation scheme
without prior knowledge of the intercepted signal, which enables significant applications in …

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 …

Automatic modulation classification plays an essential role in cognitive communication
systems. Traditional automatic modulation classification approaches are primarily …