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 …

Machine learning (ML) which is a subset of artificial intelligence is expected to unlock the
potential of challenging large-scale problems in conventional massive multiple-input …

Under the rapid economic development trend, exploring the resource optimization strategy
of cultural and creative enterprises for sustainable socio-economic development is highly …

Modulation classification is one of the key tasks for communications systems monitoring,
management, and control for addressing technical issues, including spectrum awareness …

Automatic modulation recognition (AMR) plays an important role in various communications
systems. It has the ability of adaptive modulation and can adapt to various complex …

Automatic modulation classification (AMC), which aims to blindly identify the modulation type
of an incoming signal at the receiver in wireless communication systems, is a fundamental …

Blind modulation classification (MC) is an integral part of designing an adaptive or intelligent
transceiver for future wireless communications. However, till date, only a few works have …

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

In this paper, we propose two deep learning (DL) based receiver schemes in uplink multiple-
input multiple-output (MIMO) systems. In the first scheme, we design a pilot-assisted MIMO …

The orthogonal frequency-division multiplexing (OFDM) is widely used in modern radio
communications because of its efficient spectrum utilization. As we know, the adaptive …