@inproceedings{2898a201df7843b9aab30ccf24dc26ee,
title = "Low-Cost AiP Array Design Using Machine Learning for mmWave Mobile Systems",
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.",
keywords = "ANN, Antenna in Packaging (AiP), machine learning, mmWave",
author = "Nakmouche, {Mohammed Farouk} and {Idrees Magray}, M. and Allam, {A. M.M.A.} and Fawzy, {Diaa E.} and Lin, {Ding Bing} and Tarng, {Jenn Hwan}",
note = "Publisher Copyright: {\textcopyright} 2021 Taiwan Microwave Association.; 2021 International Symposium on Antennas and Propagation, ISAP 2021 ; Conference date: 19-10-2021 Through 22-10-2021",
year = "2021",
doi = "10.23919/ISAP47258.2021.9614588",
language = "English",
series = "2021 International Symposium on Antennas and Propagation, ISAP 2021",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2021 International Symposium on Antennas and Propagation, ISAP 2021",
address = "美國",
}