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 …

Task-oriented communication is a new paradigm that aims at providing efficient connectivity
for accomplishing intelligent tasks rather than reception of every transmitted bit. This paper …

In non-cooperative communication systems such as radio spectrum resource regulation and
modern electronic warfare, automatic modulation recognition is a key technology. Traditional …

Signal modulation classification (SMC) has attracted extensive attention for its wide
application in the military and civil fields. The current direction of combining deep-learning …

Recognizing visual objects from single-trial electroencephalograph (EEG) signals is a
promising brain-computer interface technology. However, due to the redundant features …

Blind modulation recognition (BMR) involves identifying the modulation scheme of
intercepted signals, an essential component of terrestrial radio management. While deep …

The cognitive radio senses and tracking the spectrum of frequency and allocate dynamically
secondary users in spectral holes. Automatic modulation recognition provides preliminary …

Pavement defects detection has made significant progress with the development of
convolutional neural networks. Due to the topological complexity of pavement defects …

This paper focuses in the improvement of the BER performance of multiple-input multiple-
output (MIMO) systems is investigated utilizing non-orthogonal multiple access-visible light …

Blind modulation recognition (BMR) has been proposed as a promising approach for
massive multiple-input multiple-output (M-MIMO) systems to support massive user …