Deep Learning-Driven Beam-Steering for Dual-Polarized 28 GHz Antenna Arrays in 5G Wireless Networks
This study explores the development of a 28 GHz array antenna with beam-steering capability, consisting of four elements with dual linear polarization at ±45 degrees. We propose a method for synthesizing the array antenna’s radiation pattern using an active element pattern-deep...
Saved in:
| Main Authors: | Siti Zainab M. Zainab Hamzah, Norun Farihah Abdul Malek, Sarah Yasmin Mohamad, Farah Nadia Mohd Isa, Teddy Surya Gunawan, Kuo-Sheng Chin |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
|
| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10981632/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Regression machine learning methods for isolation prediction and massive gain broadband MIMO antenna design for 28 GHz applications
by: Md.Ashraful Haque, et al.
Published: (2025-12-01) -
High-isolation dual-band MIMO antenna for next-generation 5G wireless networks at 28/38 GHz with machine learning-based gain prediction
by: Md Ashraful Haque, et al.
Published: (2025-07-01) -
High-Gain Dual-Band Microstrip Antenna for 5G mmWave Applications: Design, Optimization, and Experimental Validation
by: Bilal Okan Icmez, et al.
Published: (2025-04-01) -
Sub-6 GHz Filtenna Integration With mm-Wave Dielectric Resonator Antenna Array for 5G Applications
by: Mohamed Sedigh Bizan, et al.
Published: (2025-01-01) -
The Novel Monopole Antenna for Sub-6 GHz 5G Applications
by: Kayhan Çelik
Published: (2024-09-01)