Compact Dual-Polarized Cross-Slot Antenna With Colocated Feeding

Qin, Xu; Li, Yue

doi:10.1109/tap.2019.2936758

Cited by 21 publications

(12 citation statements)

References 28 publications

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“…In (9), b0 is the coefficient matrix whose entries are given by (8). Whereas the entries of the matrix b are defined as bj = (bj.max -bj.min)/2 (cf.…”

Section: Surrogate Model Domain Setup Using Principal Componentsmentioning

confidence: 99%

“…Design of modern antenna structures faces several serious challenges. These arise from the necessity of satisfying stringent requirements pertinent to electrical and field characteristics (e.g., broadband operation [1], pattern stability [2], circular polarization [3]), implementation of various functionalities (e.g., multi-band operation [4], band notches [5], pattern diversity [6]), demands pertinent to emerging application areas (5G [7], internet of things [8]), but also small physical size [9], [10], critical for wearable [11] or implantable devices [12]. A fulfilment of such demands leads to the development of topologically complex antenna structures described by a large number of geometry parameters [13]- [15].…”

Section: Introductionmentioning

confidence: 99%

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Fast Multi-Objective Optimization of Antenna Structures by Means of Data-Driven Surrogates and Dimensionality Reduction

Koziel

Pietrenko‐Dabrowska

2020

IEEE Access

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Design of contemporary antenna structures needs to account for several and often conflicting objectives. These are pertinent to both electrical and field properties of the antenna but also its geometry (e.g., footprint minimization). For practical reasons, especially to facilitate efficient optimization, single-objective formulations are most often employed, through either a priori preference articulation, objective aggregation, or casting all but one (primary) objective into constraints. Notwithstanding, the knowledge of the best possible design trade-offs provides a more comprehensive insight into the properties of the antenna structure at hand. Genuine multi-objective optimization is a proper way of acquiring such data, typically rendered in the form of a Pareto set that represents the mentioned trade-off solutions. In antenna design, the fundamental challenge is high computational cost of multi-objective optimization, normally carried out using populationbased metaheuristic algorithms. In most practical cases, the use of reliable, yet costly, full-wave electromagnetic models is imperative to ensure evaluation reliability, which makes conventional multiobjective optimization procedures prohibitively expensive. The employment of fast surrogates (or metamodels) can alleviate these difficulties, yet, construction of metamodels faces considerable challenges by itself, mostly related to the curse of dimensionality. This work proposes a novel surrogate-assisted approach to multi-objective optimization, where the data-driven model is only rendered in a small region spanned by the selected principal components of the extreme Pareto-optimal design set obtained using local search routines. The region is limited in terms of parameter ranges but also dimensionality, yet contains the majority of Pareto front, therefore surrogate construction therein does not incur considerable costs. The typical cost of identifying the Pareto set is just a few hundred of full-wave analyses of the antenna under design. Our technique is validated using two antenna examples (a planar Yagi and an ultra-wideband monopole antenna) and favorably compared to state-of-the-art surrogate-assisted multi-objective optimization methods. INDEX TERMS Antenna design; multi-objective optimization; surrogate modeling; domain confinement; principal components; dimensionality reduction.

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“…In (9), b0 is the coefficient matrix whose entries are given by (8). Whereas the entries of the matrix b are defined as bj = (bj.max -bj.min)/2 (cf.…”

Section: Surrogate Model Domain Setup Using Principal Componentsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Fast Multi-Objective Optimization of Antenna Structures by Means of Data-Driven Surrogates and Dimensionality Reduction

Koziel

Pietrenko‐Dabrowska

2020

IEEE Access

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“…B ASEstation antennas gained a lot of attention over the past few decades with various types of antennas and with different structures [1] - [3]. Mainly antennas include patch antennas [4], [5] slot antennas [6], cross dipole antennas [7]- [9], with polarization diversity technique by utilizing different polarization became popular for base station antenna. Compact Dual polarized antennas are selected for base station antennas for their interesting features to overcome multipath fading and increasing channel capacity [10]- [15].…”

Section: Introductionmentioning

confidence: 99%

Analysis of Wave Propagation Models With Radio Network Planning Using Dual Polarized MIMO Antenna for 5G Base Station Applications

2022

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Dual polarized printed multiple input multiple output (MIMO) antenna for Band 42 (3.4 -3.6 GHz) with wave propagation models is presented. Polarization and spatial diversity are achieved by utilizing two printed bow-tie antennas in orthogonal orientation. The designed dual polarized antenna element with 2×2, 4×4 and 8×8 massive MIMO antenna configuration radiation patterns are deployed in selected geographical situation for detailed radio network planning using FEKO WinProp platform. Knife edge diffraction, extended walfisch-ikegami and dominant path wave propagation models are implemented with designed MIMO antenna configurations. Modulation schemes of QPSK and QAM with corresponding data rates and throughput for all propagation models are presented. The signal strength and quality reflecting parameters reference signal received power (RSRP), received signal strength indicator (RSSI), reference signal received quality (RSRQ), and signal to noise plus interference ratio (SNIR) are also evaluated for each model. From the simulation results dominant path model provides data rate and throughput of 3.827, 995 MBit/s and 3.577, 930.1 MBit/s for single stream of data in uplink and downlink respectively. The maximum data rate of 1.37 GBits/s is achieved for deployed base stations with 8×8 massive MIMO antenna configuration effectively covering the entire geographical site.

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“…With the wide and rapid development of modern wireless communication, antennas with multiband operation are greatly demanded in mobile wireless communication terminals. Recently, to satisfy the applications of WLAN standards (2.45/5.2/5.8 GHz) and WiMAX standards (2.8/3.8/5.5 GHz), various types of planar multiband antennas have been investigated due to their compactness, low-profile, lowcost, and convenient fabrication, such as parasitic antennas, fractal antennas, and slot antennas [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15][16][17].…”

Section: Introductionmentioning

confidence: 99%

“…A low-cost fractal antenna loaded with parasitic edge coupled split ring resonators [4], a compact triple-band antenna for 2G, 3G, 4G, and sub-6 GHz 5G applications [5], and a Minkowski fractal-shaped loop antenna with a dielectric resonator [6] are presented, which have multiband performances and compact sizes. In [8][9][10][11][12][13][14][15][16][17], planar antennas adopt slot structures to operate at multiband frequencies. A monopole antenna with two identical split ring resonators employed on a defected ground to obtain 2.7, 4.3, and 4.7 GHz, respectively, is proposed in [8] with a dimension of 60 × 60 × 1.56 mm 3 .…”

Section: Introductionmentioning

confidence: 99%

A Multiband Compact Low-Profile Planar Antenna Based on Multiple Resonant Stubs

Jing¹,

Pang²,

Lin³

et al. 2020

PIER Letters

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A multiband compact low-profile planar antenna based on multiple resonant stubs is proposed and studied. By utilizing two pairs of stubs embedded on a defected ground, the reflection coefficient less than −10 dB can be achieved with broadband characteristic for applications of wireless local area network (WLAN) and worldwide interoperability for microwave access (WiMAX). Meanwhile, a pair of inserted slots on both sides of a curve slot is applied to the antenna design, which decreases the cross polarization. A multiband antenna is fabricated and measured to verify the design. The antenna is compact with operation frequencies for WLAN (2.45/5.2/5.8 GHz) and WiMAX (2.8/3.8/5.5 GHz) applications. The measured peak gains are 5.5, 4.4, 0.0, and 5.6 dBi at 2.45, 2.8, 3.8, and 5.5 GHz, respectively.

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Compact Dual-Polarized Cross-Slot Antenna With Colocated Feeding

Cited by 21 publications

References 28 publications

Fast Multi-Objective Optimization of Antenna Structures by Means of Data-Driven Surrogates and Dimensionality Reduction

Fast Multi-Objective Optimization of Antenna Structures by Means of Data-Driven Surrogates and Dimensionality Reduction

Analysis of Wave Propagation Models With Radio Network Planning Using Dual Polarized MIMO Antenna for 5G Base Station Applications

A Multiband Compact Low-Profile Planar Antenna Based on Multiple Resonant Stubs

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