Automatic modulation classification (AMC) is an essential factor in dynamic spectrum access
to fulfill the spectrum demand of 5G wireless communications for achieving high data rate …

The Internet of Things (IoT) permeates every aspect of our daily lives as billions of
interconnected devices are deployed in the physical world. However, IoT networks operate …

Automatic modulation classification (AMC) is one of the most important technologies of
cognitive radios and ubiquitous internet of things (IoT) cyber–physical systems, and it can be …

Specific emitter identification (SEI) and automatic modulation classification (AMC) are
generally two separate tasks in the field of radio monitoring. Both tasks have similarities in …

The automatic modulation classification for surface and underwater sensors in the
perception layer is crucial in the Internet of Underwater Things (IoUT), where deep learning …

Hybrid analog and digital beamforming (HBF) has been regarded as a key technology for
future millimeter wave (mmWave) communication systems due to its ability to obtain a good …

Automatic Modulation Classification (AMC) is widely used in many aspects and occupies a
critical position in non-cooperative communication. Recently, deep learning (DL) based …

Deep learning has recently been used for this issue with superior results in automatic
modulation classification. Previous studies state that it is challenging to categorize a variety …

Due to stochastic wireless environment, the process of modulation classification has
become a challenging task. Because of its powerful feature extraction ability and promising …

This paper presents the evaluation of an approach for automatic modulation classification
(AMC) using continuous wavelet transform (CWT) with the Paul-wavelet as the signal input …