Low-Cost Aip Array Design Using Machine Learning for Mmwave Mobile Systems
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Date
2021
Journal Title
Journal ISSN
Volume Title
Publisher
Institute of Electrical and Electronics Engineers Inc.
Open Access Color
Green Open Access
No
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Abstract
Based on low-cost PCB solution, an array antenna in packaging (AiP) dedicated for mmWave mobile systems is designed using machine learning. The proposed antenna operates at 28 GHz (26.5 - 29.5 GHz) with a gain ranging from 8 dB to 15 dB in the operating bandwidth. The development process of the proposed AiP is assisted by machine learning for prediction of the optimal radiating patch's length and width in terms of resonance frequency. © 2021 Taiwan Microwave Association.
Description
2021 International Symposium on Antennas and Propagation, ISAP 2021 -- 19 October 2021 through 22 October 2021 -- 174855
Keywords
ANN, Antenna in Packaging (AiP), machine learning, mmWave, Antenna arrays, Costs, Machine learning, Microwave antennas, Millimeter waves, Organic pollutants, ANN, Antenna in packaging, Array design, Array-antenna, Low cost antenna, Low-costs, Machine-learning, Mm waves, Mobile systems, Operating bandwidth, Polychlorinated biphenyls
Fields of Science
0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology
Citation
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N/A
OpenCitations Citation Count
1
Source
2021 International Symposium on Antennas and Propagation, ISAP 2021
Volume
Issue
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1
End Page
2
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CrossRef : 1
Scopus : 1
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1
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