Mohammed Farouk Nakmouche, M. Idrees Magray, A. Allam, D. Fawzy, D. Lin, J. Tarng
{"title":"基于机器学习的毫米波移动系统低成本AiP阵列设计","authors":"Mohammed Farouk Nakmouche, M. Idrees Magray, A. Allam, D. Fawzy, D. Lin, J. Tarng","doi":"10.23919/ISAP47258.2021.9614588","DOIUrl":null,"url":null,"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.","PeriodicalId":132941,"journal":{"name":"2021 International Symposium on Antennas and Propagation (ISAP)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Low-Cost AiP Array Design Using Machine Learning for mmWave Mobile Systems\",\"authors\":\"Mohammed Farouk Nakmouche, M. Idrees Magray, A. Allam, D. Fawzy, D. Lin, J. Tarng\",\"doi\":\"10.23919/ISAP47258.2021.9614588\",\"DOIUrl\":null,\"url\":null,\"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.\",\"PeriodicalId\":132941,\"journal\":{\"name\":\"2021 International Symposium on Antennas and Propagation (ISAP)\",\"volume\":\"38 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-10-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 International Symposium on Antennas and Propagation (ISAP)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.23919/ISAP47258.2021.9614588\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 International Symposium on Antennas and Propagation (ISAP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23919/ISAP47258.2021.9614588","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Low-Cost AiP Array Design Using Machine Learning for mmWave Mobile Systems
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.