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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 |
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