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 a key step of signal demodulation that
determines whether the receiver can correctly receive the transmitted signal without prior …

Automatic modulation classification (AMC) lies at the core of cognitive radio and spectrum
sensing. In this Letter, the authors propose a novel convolutional neural network (CNN) …

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

Automatic modulation recognition (AMR) is a significant technology in noncooperative
wireless communication systems. This paper proposes a deep complex network that …

The development of the Internet-of-Things (IoT) security is comparatively slower than the
pace of the IoT innovations. The seamless IoT network operates in an untrusted environment …

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 …

Automatic modulation recognition (AMR) is considered one of most important techniques in
the non-cooperative wireless communication systems. Traditional algorithms, eg, support …

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 …

This letter proposes a cost-efficient convolutional neural network (CNN) for robust automatic
modulation classification (AMC) deployed for cognitive radio services of modern …