| Issue |
EPJ Web Conf.
Volume 369, 2026
4th International Conference on Artificial Intelligence and Applied Mathematics (JIAMA’26)
|
|
|---|---|---|
| Article Number | 01005 | |
| Number of page(s) | 10 | |
| Section | Applied Physics & Engineering Systems Modeling | |
| DOI | https://doi.org/10.1051/epjconf/202636901005 | |
| Published online | 13 May 2026 | |
https://doi.org/10.1051/epjconf/202636901005
AI-optimized rectangular-slotted microstrip antenna on Rogers RT5880 for 5.8 GHz sub-6 GHz wireless applications
EST Nador, Universite Mohammed Premier, Nador, Morocco
* Corresponding author: This email address is being protected from spambots. You need JavaScript enabled to view it.
Published online: 13 May 2026
Abstract
A small rectangular microstrip antenna operated around 5.8 GHz was designed and numerically investigated for sub-6 GHz wireless communications. To facilitate a clear design procedure, this work is divided into three steps. In the first step is a basic patch antenna, in the second step is a rectangular-slotted patch antenna, which enhances both effective current path length and impedance bandwidth and finally in the third Step is a slotted patch antenna, which has been optimized using a genetic algorithm. The optimization was performed by simulation in CST Microwave Studio to find the combinations of the slot width and slot length, slot position, patch dimensions, and partial ground length that yield highest fitness function value. This fitness function combines performance criteria such as resonant frequency error, reflection coefficient, impedance bandwidth, and radiation performance. The optimized antenna has small size of 15×30×1.6 mm³ and resonates at 5.795 GHz with low return loss, large operating bandwidth, and increased back radiation gain. The results show enhancements compared to a basic patch antenna of size 20×40×1.6 mm³.
Key words: Microstrip patch antenna / rectangular slot / genetic algorithm optimization / sub-6 GHz antenna / Rogers RT5880
© The Authors, published by EDP Sciences, 2026
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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