Machine learning-based technique for gain prediction of mm-wave miniaturized 5G MIMO slotted antenna array with high isolation characteristics

Machine learning-based technique for gain prediction of mm-wave miniaturized 5G MIMO slotted antenna array with high isolation characteristics

Abstract This study presents the design and analysis of a compact 28 GHz MIMO antenna for 5G wireless networks, incorporating simulations, measurements, and machine learning (ML) techniques to optimize its performance. With dimensions of 3.19 λ₀ × 3.19 λ₀, the antenna offers a bandwidth of 5.1 GHz,...

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Bibliographic Details
Main Authors: Md. Ashraful Haque, Jamal Hossain Nirob, Kamal Hossain Nahin, Noorlindawaty Md Jizat, M. A. Zakariya, Redwan A. Ananta, Wazie M. Abdulkawi, Khaled Aljaloud, Samir Salem Al-Bawri
Format: Article
Language:English
Published: Nature Portfolio 2025-01-01
Series:Scientific Reports
Subjects:
28 GHz
5G technology
Mm-wave
MIMO antenna
RLC
Machine learning
Online Access:https://doi.org/10.1038/s41598-024-84182-w
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