Orthogonal versus zero-forced beamforming in multibeam antenna systems: Review and challenges for future wireless networks
Orthogonality in multibeam antennas is revisited. The difference between orthogonal
beamforming and zero-forced beamforming is highlighted. The intriguing relation between …
beamforming and zero-forced beamforming is highlighted. The intriguing relation between …
Irregular phased array tiling by means of analytic schemata-driven optimization
The design of subarrayed planar phased arrays characterized by an irregular organization
of domino-shaped tiles is addressed. Starting from optimal tiling theorems drawn from …
of domino-shaped tiles is addressed. Starting from optimal tiling theorems drawn from …
Knowledge-guided active-base-element modeling in machine-learning-assisted antenna-array design
Machine-learning (ML)-assisted antenna-array design methods suffer from a heavy
computational burden. In this article, a knowledge-guided active-base-element-modeling …
computational burden. In this article, a knowledge-guided active-base-element-modeling …
System advantages of using large-scale aperiodic array topologies in future mm-wave 5G/6G base stations: An interdisciplinary look
The encouraging potential of employing large-scale aperiodic base station arrays in
addressing the radiation pattern and thermal requirements of the next generation …
addressing the radiation pattern and thermal requirements of the next generation …
Machine learning-assisted array synthesis using active base element modeling
Array synthesis under practical constraints is a vital design task. Traditional array synthesis
methods usually deal with isolated antenna elements without considering mutual coupling …
methods usually deal with isolated antenna elements without considering mutual coupling …
Compressive sensing imaging of 3-D object by a holographic algorithm
Existing 3-D compressive sensing (CS)-based millimeter-wave (MMW) imaging methods
require a large-scale storage of the sensing matrix and immense computations owing to the …
require a large-scale storage of the sensing matrix and immense computations owing to the …
Multiple beam synthesis of passively cooled 5G planar arrays using convex optimization
Y Aslan, J Puskely, A Roederer… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
An extended-feature, system-driven convex algorithm for the synthesis of uniform-amplitude,
irregular planar phased arrays with simultaneous multi-beam optimization for mm-wave 5G …
irregular planar phased arrays with simultaneous multi-beam optimization for mm-wave 5G …
Sparse array mutual coupling reduction
C Larmour, N Buchanan, V Fusco… - IEEE Open Journal of …, 2023 - ieeexplore.ieee.org
This paper provides a concise overview of recent developments in sparse antenna arrays,
with a specific focus on techniques for reducing mutual coupling. It explores the concept and …
with a specific focus on techniques for reducing mutual coupling. It explores the concept and …
Expedited antenna optimization with numerical derivatives and gradient change tracking
Purpose The purpose of this study is to propose a framework for expedited antenna
optimization with numerical derivatives involving gradient variation monitoring throughout …
optimization with numerical derivatives involving gradient variation monitoring throughout …
Synthesis of multibeam sparse circular-arc antenna arrays employing refined extended alternating convex optimization
A refined extended alternating convex optimization (REACO) method is presented to
synthesize multibeam sparse circular-arc antenna arrays with minimum element spacing …
synthesize multibeam sparse circular-arc antenna arrays with minimum element spacing …