作者
Shadi Danesh, Ali Araghi, Mohsen Khalily, Pei Xiao, Rahim Tafazolli
发表日期
2020/10/20
研讨会论文
2020 International Symposium on Networks, Computers and Communications (ISNCC)
页码范围
1-5
出版商
IEEE
简介
A machine learning (ML) technique has been used to synthesis a linear millimetre wave (mmWave) phased array antenna by considering the phase-only synthesis approach. For the first time, gradient boosting tree (GBT) is applied to estimate the phase values of a 16-element array antenna to generate different far-field radiation patterns. GBT predicts phases while the amplitude values have been equally set to generate different beam patterns for various 5G mmWave transmission scenarios such as multicast, unicast, broadcast and unmanned aerial vehicle (UAV) applications.
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S Danesh, A Araghi, M Khalily, P Xiao, R Tafazolli - … International Symposium on Networks, Computers and …, 2020