Low-Cost Aip Array Design Using Machine Learning for Mmwave Mobile Systems

dc.contributor.author Nakmouche M.F.
dc.contributor.author Idrees Magray M.
dc.contributor.author Allam A.M.M.A.
dc.contributor.author Fawzy D.E.
dc.contributor.author Lin D.B.
dc.contributor.author Tarng J.-H.
dc.date.accessioned 2023-06-16T15:03:07Z
dc.date.available 2023-06-16T15:03:07Z
dc.date.issued 2021
dc.description 2021 International Symposium on Antennas and Propagation, ISAP 2021 -- 19 October 2021 through 22 October 2021 -- 174855 en_US
dc.description.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. en_US
dc.identifier.doi 10.23919/ISAP47258.2021.9614588
dc.identifier.isbn 9.79E+12
dc.identifier.scopus 2-s2.0-85123318219
dc.identifier.uri https://doi.org/10.23919/ISAP47258.2021.9614588
dc.identifier.uri https://hdl.handle.net/20.500.14365/3734
dc.language.iso en en_US
dc.publisher Institute of Electrical and Electronics Engineers Inc. en_US
dc.relation.ispartof 2021 International Symposium on Antennas and Propagation, ISAP 2021 en_US
dc.rights info:eu-repo/semantics/closedAccess en_US
dc.subject ANN en_US
dc.subject Antenna in Packaging (AiP) en_US
dc.subject machine learning en_US
dc.subject mmWave en_US
dc.subject Antenna arrays en_US
dc.subject Costs en_US
dc.subject Machine learning en_US
dc.subject Microwave antennas en_US
dc.subject Millimeter waves en_US
dc.subject Organic pollutants en_US
dc.subject ANN en_US
dc.subject Antenna in packaging en_US
dc.subject Array design en_US
dc.subject Array-antenna en_US
dc.subject Low cost antenna en_US
dc.subject Low-costs en_US
dc.subject Machine-learning en_US
dc.subject Mm waves en_US
dc.subject Mobile systems en_US
dc.subject Operating bandwidth en_US
dc.subject Polychlorinated biphenyls en_US
dc.title Low-Cost Aip Array Design Using Machine Learning for Mmwave Mobile Systems en_US
dc.type Conference Object en_US
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gdc.description.departmenttemp Nakmouche, M.F., Izmir University of Economics, Faculty of Engineering, Izmir, Turkey; Idrees Magray, M., National Chiao Tung University, Center For MmWave Smart Radar Systems And Technologies, Hsinchu, Taiwan; Allam, A.M.M.A., German University In Cairo, Department of Communication Engineering, Cairo, Egypt; Fawzy, D.E., Izmir University of Economics, Faculty of Engineering, Izmir, Turkey; Lin, D.B., National Taiwan University of Science And Technology, Department of Electronic And Computer Engineering, Taipei, Taiwan; Tarng, J.-H., National Chiao Tung University, Center For MmWave Smart Radar Systems And Technologies, Hsinchu, Taiwan en_US
gdc.description.endpage 2
gdc.description.publicationcategory Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı en_US
gdc.description.scopusquality N/A
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gdc.oaire.sciencefields 0202 electrical engineering, electronic engineering, information engineering
gdc.oaire.sciencefields 02 engineering and technology
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