This review paper provides an overview of the latest developments in artificial intelligence
(AI)-based antenna design and optimization for wireless communications. Machine learning …

Transmission applications in wireless networks have brought unprecedented demands. The
demand for high-performance wireless transmission is increasing day by day. Antenna …

Modern wireless communication systems rely heavily on multiple antennas and their
corresponding signal processing to achieve optimal performance. As 5G and 6G networks …

In this paper, we address the problem of energy consumption associated with mixed signal
components such as analog-to-digital components in millimeter-wave (mmWave) massive …

In this paper, we present an energy-efficient joint machine learning based beam-user
selection and low complexity hybrid beamforming for the multiuser massive multiple-input …

With the vision to transform the current wireless network into a cyber-physical intelligent
platform capable of supporting bandwidth-hungry and latency-constrained applications, both …

Hardware complexity reduction is a key concept towards the design and implementation of
next generation broadband wireless networks. To this end, the goal of the study presented in …

Beamforming, an integral component of modern mobile networks, enables spatial selectivity
and improves network quality. However, many beamforming techniques are iterative …

In this paper the performance of an adaptive beamforming framework is evaluated, when
deployed in fifth-generation massive multiple-input multiple-output millimeter wave cellular …

We have studied massive MIMO hybrid beamforming (HBF) for millimeter-wave (mmWave)
communications, where the transceivers only have a few radio frequency chain (RFC) …