Machine learning-based technique for directivity prediction of a compact and highly efficient 4-port MIMO antenna for 5G millimeter wave applications

Miniaturized Millimeter Wave (mm-wave) MIMO antenna arrays with an observed 10-dB impedance broad bandwidth of 3.7 GHz (25.785–29.485) are the focus of this study's design and analysis for a 5G application. Rogers RT/duroid 5880, a low-loss dielectric material, is utilized in the antenna's fabricati...

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Hlavní autoři:	Md Ashraful Haque, Kamal Hossain Nahin, Jamal Hossain Nirob, Md Kawsar Ahmed, Narinderjit Singh Sawaran Singh, Liton Chandra Paul, Abeer D. Algarni, Mohammed ElAffendi, Abdelhamied A. Ateya
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	Elsevier 2024-12-01
Edice:	Results in Engineering
Témata:	28 GHz 5G technology Mm-wave MIMO antenna Machine learning
On-line přístup:	http://www.sciencedirect.com/science/article/pii/S2590123024013616
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