Deep learning (DL) technology is an effective tool for automatic modulation recognition
(AMR) in the field of cognitive radio (CR). Most of the existing DL-based approaches usually …

Automatic modulation classification (AMC) is an essential technique in intelligent receivers
of non-cooperative communication systems such as cognitive radio networks and military …

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 …

Automatic modulation recognition (AMR) is an essential and challenging topic in the
development of the cognitive radio (CR), and it is a cornerstone of CR adaptive modulation …

Automatic modulation recognition is a major project in the field of radio cognition; however,
the generalization ability of conventional models cannot satisfy practical applications. In …

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

Addressing the spectrum scarcity problem under the explosive growth of wireless network
applications and data traffic, requires a decidedly global research focus on Cognitive Radio …

Automatic modulation recognition (AMR) is a critical technology in spatial cognitive radio
(SCR), and building high-performance AMR model can achieve high classification accuracy …

Automatic modulation classification (AMC) used in cognitive radio networks is an important
class of methods apt to utilize spectrum resources efficiently. However, conventional …

Recognizing signals is critical for understanding the increasingly crowded wireless spectrum
space in noncooperative communications. Traditional threshold or pattern recognition …