Journal ArticleOpen Access
Machine learning-based technique for directivity prediction of a compact and highly efficient 4-port MIMO antenna for 5G millimeter wave applications
Author Affiliations
Daffodil International University, INTI International University, Pabna University of Science and Technology, Princess Nourah bint Abdulrahman University, ...
Published InResults in Engineering
Year2024
Citations40
Abstract
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 fabrication. For MIMO antenna design down to the lowest frequency, the substrate and ground must have dimensions of 3.3λ 0 × 3.3λ 0 . Besides compact, the suggested design has a supreme gain of 8.9 dB, isolation greater than 29.24, and a maximum efficiency rating of 98.4%. A Diversity Gain (DG) has a value that is greater than 9.99, whereas an Envelope Correlation Coefficient ECC) has a value that is less than 0.00005. The effectiveness of…
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