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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
Jinhua Zhang Jinhua Zhang 1*Shi Dong Shi Dong 1Deema Mohammed Alsekait Deema Mohammed Alsekait 2*Imran Khan Imran Khan 3Pi-Chung Wang Pi-Chung Wang 4*Ibrahim A. Hameed Ibrahim A. Hameed 5*
  • 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

The final, formatted version of the article will be published soon.

    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

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.