The rapid development of information and wireless communication technologies together
with the large increase in the number of end-users have made the radio spectrum more …

Massive and ubiquitous deployment of devices in networks of fifth generation (5G) and
beyond wireless has necessitated the development of ultra-low-power wireless …

In this paper, we review a variety of deep learning algorithms and models for modulation
recognition and classification of wireless communication signals. Specifically, deep learning …

In a non-cooperative communication environment, automatic modulation classification
(AMC) is an essential technology for analyzing signals and classifying different kinds of …

Radio signal classification has a very wide range of applications in the field of wireless
communications and electromagnetic spectrum management. In recent years, deep learning …

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

The accuracy of index-bit detection greatly affects the overall bit-error-rate (BER)
performance of index modulation aided differential chaos shift keying (IM-DCSK). To …

Due to the uncertainty of non-cooperative communication channels, the received signals
often contain various impairment factors, leading to a significant decline in the performance …

In wireless communication, signal demodulation under non-ideal conditions is one of the
important research topic. In this paper, a novel non-coherent binary phase shift keying …

Chaos communications have widely been applied to provide secure, and anti-jamming
transmissions by exploiting the irregular chaotic behavior. However, the real-valued chaotic …