Machine learning‐enabled two‐port wideband MIMO hybrid rectangular dielectric resonator antenna for n261 5G NR millimeter wave

Summary In this article, a two‐port multiple‐input multiple‐output (MIMO) hybrid rectangular dielectric resonator antenna (DRA) with machine learning (ML) approach for the n261 5G New Radio (NR) application is presented. The proposed antenna is designed on an RT/duroid 5880 (Ɛr = 2.2) substrate acti...

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Veröffentlicht in:	International journal of communication systems 2024-11, Vol.37 (16), p.n/a
Hauptverfasser:	Rai, Jayant Kumar, Ranjan, Pinku, Kumar, Santosh, Chowdhury, Rakesh, Kumar, Somesh, Sharma, Anand
Format:	Artikel
Sprache:	eng
Schlagworte:	5G mobile communication 5G New Radio Antenna design Antennas Artificial neural networks Channel capacity Correlation coefficients Design optimization Design parameters dielectric resonator antenna Dielectrics Frequency ranges Machine learning Millimeter waves MIMO MIMO communication Neural networks Radio antennas Reflectance Resonators Substrates
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