Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.14365/3734| Title: | Low-Cost AiP Array Design Using Machine Learning for mmWave Mobile Systems | Authors: | Nakmouche M.F. Idrees Magray M. Allam A.M.M.A. Fawzy D.E. Lin D.B. Tarng J.-H. |
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 |
Publisher: | Institute of Electrical and Electronics Engineers Inc. | 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 | URI: | https://doi.org/10.23919/ISAP47258.2021.9614588 https://hdl.handle.net/20.500.14365/3734 |
ISBN: | 9.78987E+12 |
| Appears in Collections: | Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection |
Files in This Item:
| File | Size | Format | |
|---|---|---|---|
| 2814.pdf Restricted Access | 3.99 MB | Adobe PDF | View/Open Request a copy |
CORE Recommender
SCOPUSTM
Citations
1
checked on Nov 20, 2024
Page view(s)
58
checked on Nov 18, 2024
Google ScholarTM
Check
Altmetric
Items in GCRIS Repository are protected by copyright, with all rights reserved, unless otherwise indicated.