Applications of Machine Learning and Deep Learning in Antenna Design, Optimization and Selection: A Review
This review paper provides an overview of the latest developments in artificial intelligence
(AI)-based antenna design and optimization for wireless communications. Machine learning …
(AI)-based antenna design and optimization for wireless communications. Machine learning …
Dual-polarized highly folded bowtie antenna with slotted self-grounded structure for sub-6 GHz 5G applications
M Alibakhshikenari, BS Virdee, CH See… - … on Antennas and …, 2021 - ieeexplore.ieee.org
In this communication, a novel dual-polarized highly folded self-grounded Bowtie antenna
that is excited through I-shaped slots is proposed for applications in sub-6 GHz 5G multiple …
that is excited through I-shaped slots is proposed for applications in sub-6 GHz 5G multiple …
Machine learning-assisted antenna design optimization: A review and the state-of-the-art
Antenna design optimization continues to attract a lot of interest. This is mainly because
traditional antenna design methodologies are exhaustive and have no guarantee of yielding …
traditional antenna design methodologies are exhaustive and have no guarantee of yielding …
Accurate modeling of antenna structures by means of domain confinement and pyramidal deep neural networks
The importance of surrogate modeling techniques has been gradually increasing in the
design of antenna structures over the recent years. Perhaps the most important reason is a …
design of antenna structures over the recent years. Perhaps the most important reason is a …
An efficient method for antenna design based on a self-adaptive Bayesian neural network-assisted global optimization technique
Gaussian process (GP) is a very popular machine learning method for online surrogate-
model-assisted antenna design optimization. Despite many successes, two improvements …
model-assisted antenna design optimization. Despite many successes, two improvements …
A parallel surrogate model assisted evolutionary algorithm for electromagnetic design optimization
Optimization efficiency is a major challenge for electromagnetic (EM) device, circuit, and
machine design. Although both surrogate model-assisted evolutionary algorithms (SAEAs) …
machine design. Although both surrogate model-assisted evolutionary algorithms (SAEAs) …
An efficient method for complex antenna design based on a self adaptive surrogate model-assisted optimization technique
Surrogate models are widely used in antenna design for optimization efficiency
improvement. Currently, the targeted antennas often have a small number of design …
improvement. Currently, the targeted antennas often have a small number of design …
A high-performance sub-THz planar antenna array for THz sensing and imaging applications
Terahertz (THz) spectral region from 0.1 to 3 THz is envisaged to hold immense potential in
the next generation of wireless technologies. Recently, research has focused on this …
the next generation of wireless technologies. Recently, research has focused on this …
A trust-region parallel Bayesian optimization method for simulation-driven antenna design
J Zhou, Z Yang, Y Si, L Kang, H Li… - … on Antennas and …, 2020 - ieeexplore.ieee.org
This article presents a trust-region parallel Bayesian optimization (TRPBO) method for
simulation-driven antenna design problems. In this method, a multipoints acquisition …
simulation-driven antenna design problems. In this method, a multipoints acquisition …
An efficient surrogate assisted particle swarm optimization for antenna synthesis
By virtue of the prediction abilities of machine learning (ML) methods, the ML-assisted
evolutionary algorithm has been treated as an efficient solution for antenna design …
evolutionary algorithm has been treated as an efficient solution for antenna design …