Having passed the primitive phases and starting to revolutionize many different fields in
some way, artificial intelligence is on its way to becoming a disruptive technology. It is also …

The trend of using larger scale antenna arrays will continue toward 6G systems, where the
number of antennas will be further scaled up to improve spectral efficiency. However, the …

Millimeter wave (mmWave) systems need beam management to establish and maintain
reliable links. This complex and time-consuming process seriously affects communication …

The usage of techniques of the artificial neural networks (ANNs) in the field of microwave
devices has recently increased. The advantages of ANNs in comparison with traditional full …

In this paper, we propose an environment semantics aided wireless communication
framework to reduce the transmission latency and improve the transmission reliability, where …

Deep neural networks (DNNs) are emerging as a potential solution to solve NP-hard
wireless resource allocation problems. However, in the presence of intricate constraints, eg …

Next-generation wireless networks strive for higher communication rates, ultra-low latency,
seamless connectivity, and high-resolution sensing capabilities. To meet these demands …

In the coming sixth-generation mobile communication era, the intensive deployment of
Internet of Things (IoT) devices and cellular networks is an irresistible trend, leading to …

Achieving adequate precision in deep learning based communications often requires large
network architectures, which results into unacceptable time delay and power consumption …

Unsupervised learning (UL) is widely used in the wireless resource allocation problems due
to its lower computational complexity and better performance compared with traditional …