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

As an integral part of the electromagnetic system, antennas are becoming more advanced
and versatile than ever before, thus making it necessary to adopt new techniques to …

We investigate the performance of multi-user multiple-antenna downlink systems in which a
base station (BS) serves multiple users via a shared wireless medium. In order to fully …

Antenna selection (AS) is a signal processing technology that can greatly reduce the
hardware complexity of multi-antenna systems. Specifically, AS can decrease the number of …

An optimal power allocation is a fundamental challenge for massive multiple-input–multiple-
output (MIMO) systems because the power allocation should be acclimated to time-varying …

MIMO transmit arrays allow for flexible design of the transmit beampattern. However, the
large number of elements required to achieve certain performance using uniform linear …

In this paper, we propose an energy-efficient radar beampattern design framework for
Millimeter Wave (mmWave) massive multi-input multi-output (mMIMO) systems, equipped …

US11640522B2 - Computational efficiency improvements for artificial neural networks - Google
Patents US11640522B2 - Computational efficiency improvements for artificial neural networks …

This work proposes a transmitter antenna selection (TAS) method for multiple‐input multiple‐
out (MIMO) nonorthogonal multiple access (NOMA) that is a promising multiple access …

This article present a synthesis modelling of isolation in a diamond-shaped fractal
electromagnetic band gag (DSFEBG) based two-port multiple input and multiple-output …