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ORIGINAL RESEARCH article
Front. Mater.
Sec. Metamaterials
Volume 11 - 2024 |
doi: 10.3389/fmats.2024.1479398
Design and Performance Optimization of a Novel Lens Antenna for Emerging Beyond 5G Wireless Applications
Provisionally accepted- 1 Zhoukou Normal University, Zhoukou, Henan Province, China
- 2 Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia
- 3 University of Engineering and Technology, Peshawar, Peshawar, Pakistan
- 4 National Chung Hsing University, Taichung, Taiwan
- 5 Norwegian University of Science and Technology Gjøvik, Gjøvik, Norway
This paper proposes a novel all-dielectric design of lens antenna and its performance is optimized using genetic algorithm (GA). The optimization objective are 1-dB and steady gain that are directly optimized. The GA also optimizes the topological design of the lens. The method consists of two main components: the design of the objective function and the initial population selection. The first lens structure fed into the algorithm and the initial population match. The lens has a diameter of 150 mm and a thickness of 30 mm at its thickest point with working frequency of 6 to 18 GHz. The 3D printing technology is used for the antenna fabrication that reduces the implantation cost. The experimental results show that the gain and peak aperture efficiency of the proposed antenna are 23.8 dBi and 51.9%, respectively, better than those of the existing designs. It advantages are low-cost, easy to fabricate, simple design, high gain, narrow beams, low side lobes. It can be used in future ultra-wideband (UWB) applications.
Keywords: lens antenna, Dielectric material, Genetic Algorithm, beamforming, 3D printing, Miniaturization, 5G antenna, UWB antenna
Received: 12 Aug 2024; Accepted: 10 Sep 2024.
Copyright: © 2024 Zhang, Dong, Alsekait, Khan, Wang and Hameed. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence:
Jinhua Zhang, Zhoukou Normal University, Zhoukou, Henan Province, China
Deema Mohammed Alsekait, Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia
Pi-Chung Wang, National Chung Hsing University, Taichung, 402, Taiwan
Ibrahim A. Hameed, Norwegian University of Science and Technology Gjøvik, Gjøvik, Norway
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