Far-Field-Based Nonlinear Optimization of Millimeter-Wave Active Antenna for 5G Services

Hanieh Aliakbari Abar; Abdolali  Abdipour; Alessandra Costanzo; Diego  Masotti; Rashid  Mirzavand; Pedram  Mousavi

doi:10.1109/TMTT.2019.2909898

Far-Field-Based Nonlinear Optimization of Millimeter-Wave Active Antenna for 5G Services

Hanieh Aliakbari Abar, Abdolali Abdipour, Alessandra Costanzo, Diego Masotti, Rashid Mirzavand, Pedram Mousavi

Research output: Contribution to journal › Article › peer-review

Abstract

This paper presents the design and characterization of millimeter-wave (28/38 GHz), circularly polarized (CP) active antennas, suitable for the future 5G services. By augmenting the modelling capabilities of commercially available nonlinear CAD tools, the active antenna design can simultaneously optimize figures of merits for both radiation and non-linear (NL) performance. The radiating part is computed and optimized layout-wise by means of an artificial neural network (ANN), suitably trained off-line. For the NL design purpose, the harmonic neural network (HNN) of the antenna is subsequently implemented as a standard circuit component, to include the antenna behavior at all the harmonics of its non-linear regime. This allows avoiding time-consuming EM-simulations in the harmonic balance optimization loop.
In this way, a well-defined interface between the antenna and the amplifier can be avoided. To demonstrate the effectiveness of the design approach, one active AIA, consisting of a class AB amplifier feeding a circularly polarized patch at 38 GHz, has been fabricated with the standard 0.1-μm AlGaAs-InGaAs pHEMT technology and extensively measured with respect to both the electrical and radiation performances. To reduce fabrication costs, a hybrid integration of the antenna and amplifier connection is used, and the antenna is incorporated into the main PCB.

Original language	English
Pages (from-to)	2985-2997
Journal	IEEE Transactions on Microwave Theory and Techniques
DOIs	https://doi.org/10.1109/TMTT.2019.2909898
Publication status	Published - 2019
Externally published	Yes

Subject classification (UKÄ)

Other Electrical Engineering, Electronic Engineering, Information Engineering

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10.1109/TMTT.2019.2909898

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@article{c30bcf78c97f4e4fb35ae07a26f30f39,

title = "Far-Field-Based Nonlinear Optimization of Millimeter-Wave Active Antenna for 5G Services",

abstract = "This paper presents the design and characterization of millimeter-wave (28/38 GHz), circularly polarized (CP) active antennas, suitable for the future 5G services. By augmenting the modelling capabilities of commercially available nonlinear CAD tools, the active antenna design can simultaneously optimize figures of merits for both radiation and non-linear (NL) performance. The radiating part is computed and optimized layout-wise by means of an artificial neural network (ANN), suitably trained off-line. For the NL design purpose, the harmonic neural network (HNN) of the antenna is subsequently implemented as a standard circuit component, to include the antenna behavior at all the harmonics of its non-linear regime. This allows avoiding time-consuming EM-simulations in the harmonic balance optimization loop. In this way, a well-defined interface between the antenna and the amplifier can be avoided. To demonstrate the effectiveness of the design approach, one active AIA, consisting of a class AB amplifier feeding a circularly polarized patch at 38 GHz, has been fabricated with the standard 0.1-μm AlGaAs-InGaAs pHEMT technology and extensively measured with respect to both the electrical and radiation performances. To reduce fabrication costs, a hybrid integration of the antenna and amplifier connection is used, and the antenna is incorporated into the main PCB. ",

author = "{Aliakbari Abar}, Hanieh and Abdolali Abdipour and Alessandra Costanzo and Diego Masotti and Rashid Mirzavand and Pedram Mousavi",

year = "2019",

doi = "10.1109/TMTT.2019.2909898",

language = "English",

pages = "2985--2997 ",

journal = "IEEE Transactions on Microwave Theory and Techniques",

issn = "0018-9480",

publisher = "IEEE - Institute of Electrical and Electronics Engineers Inc.",

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T1 - Far-Field-Based Nonlinear Optimization of Millimeter-Wave Active Antenna for 5G Services

AU - Aliakbari Abar, Hanieh

AU - Abdipour, Abdolali

AU - Costanzo, Alessandra

AU - Masotti, Diego

AU - Mirzavand, Rashid

AU - Mousavi, Pedram

PY - 2019

Y1 - 2019

N2 - This paper presents the design and characterization of millimeter-wave (28/38 GHz), circularly polarized (CP) active antennas, suitable for the future 5G services. By augmenting the modelling capabilities of commercially available nonlinear CAD tools, the active antenna design can simultaneously optimize figures of merits for both radiation and non-linear (NL) performance. The radiating part is computed and optimized layout-wise by means of an artificial neural network (ANN), suitably trained off-line. For the NL design purpose, the harmonic neural network (HNN) of the antenna is subsequently implemented as a standard circuit component, to include the antenna behavior at all the harmonics of its non-linear regime. This allows avoiding time-consuming EM-simulations in the harmonic balance optimization loop. In this way, a well-defined interface between the antenna and the amplifier can be avoided. To demonstrate the effectiveness of the design approach, one active AIA, consisting of a class AB amplifier feeding a circularly polarized patch at 38 GHz, has been fabricated with the standard 0.1-μm AlGaAs-InGaAs pHEMT technology and extensively measured with respect to both the electrical and radiation performances. To reduce fabrication costs, a hybrid integration of the antenna and amplifier connection is used, and the antenna is incorporated into the main PCB.

AB - This paper presents the design and characterization of millimeter-wave (28/38 GHz), circularly polarized (CP) active antennas, suitable for the future 5G services. By augmenting the modelling capabilities of commercially available nonlinear CAD tools, the active antenna design can simultaneously optimize figures of merits for both radiation and non-linear (NL) performance. The radiating part is computed and optimized layout-wise by means of an artificial neural network (ANN), suitably trained off-line. For the NL design purpose, the harmonic neural network (HNN) of the antenna is subsequently implemented as a standard circuit component, to include the antenna behavior at all the harmonics of its non-linear regime. This allows avoiding time-consuming EM-simulations in the harmonic balance optimization loop. In this way, a well-defined interface between the antenna and the amplifier can be avoided. To demonstrate the effectiveness of the design approach, one active AIA, consisting of a class AB amplifier feeding a circularly polarized patch at 38 GHz, has been fabricated with the standard 0.1-μm AlGaAs-InGaAs pHEMT technology and extensively measured with respect to both the electrical and radiation performances. To reduce fabrication costs, a hybrid integration of the antenna and amplifier connection is used, and the antenna is incorporated into the main PCB.

U2 - 10.1109/TMTT.2019.2909898

DO - 10.1109/TMTT.2019.2909898

M3 - Article

SP - 2985

EP - 2997

JO - IEEE Transactions on Microwave Theory and Techniques

JF - IEEE Transactions on Microwave Theory and Techniques

SN - 0018-9480

ER -

Far-Field-Based Nonlinear Optimization of Millimeter-Wave Active Antenna for 5G Services

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