Nakmouche M.F.Idrees Magray M.Allam A.M.M.A.Fawzy D.E.Lin D.B.Tarng J.-H.2023-06-162023-06-1620219.79E+12https://doi.org/10.23919/ISAP47258.2021.9614588https://hdl.handle.net/20.500.14365/37342021 International Symposium on Antennas and Propagation, ISAP 2021 -- 19 October 2021 through 22 October 2021 -- 174855Based 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.eninfo:eu-repo/semantics/closedAccessANNAntenna in Packaging (AiP)machine learningmmWaveAntenna arraysCostsMachine learningMicrowave antennasMillimeter wavesOrganic pollutantsANNAntenna in packagingArray designArray-antennaLow cost antennaLow-costsMachine-learningMm wavesMobile systemsOperating bandwidthPolychlorinated biphenylsLow-Cost Aip Array Design Using Machine Learning for Mmwave Mobile SystemsConference Object10.23919/ISAP47258.2021.96145882-s2.0-85123318219