Design and Optimization of Metamaterial-Based 5G Millimeter Wave Antenna for Gain Enhancement - Publication - Bridge of Knowledge

Search

Design and Optimization of Metamaterial-Based 5G Millimeter Wave Antenna for Gain Enhancement

Abstract

In this brief, a low profile, broadband, high-gain antenna array based on optimized metamaterials (MMs) with dual-beam radiation is reported for 5G millimeters wave (mm-wave) applications. The design is a simple bow tie operating at a 5G band of 28 GHz. It consists of two bow ties with substrate integrated waveguide (SIW)-based power splitter. A broad impedance bandwidth of 26.3−29.8 GHz is obtained by appropriately combining the resonances of the bow ties and the SIW. Further, the antenna exhibits symmetrical dual-beam radiation at ±25˚ over a broad bandwidth in the end-fire direction due to the arrangement of the two radiators. A MM array has been etched in the same substrate shared with the antenna to improve the gain performance while preserving compact size. The trust-region (TR) gradient-based algorithm is used to optimize the structure dimensions and to achieve a maximum gain of 12.2 dB at 29 GHz. The developed MM-based antenna is validated experimentally with a good matching between the simulated and measured data. The system features a small size, low profile, high gain, broad bandwidth, and dual-beam in the E-plane, demonstrating its suitability for 5G mm-wave indoor scenarios.

Citations

  • 4

    CrossRef

  • 0

    Web of Science

  • 9

    Scopus

Cite as

Full text

full text is not available in portal

Keywords

Details

Category:
Articles
Type:
artykuły w czasopismach
Published in:
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS no. 70, pages 3348 - 3352,
ISSN: 1549-7747
Language:
English
Publication year:
2023
Bibliographic description:
Esmail B., Kozieł S.: Design and Optimization of Metamaterial-Based 5G Millimeter Wave Antenna for Gain Enhancement// IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS -Vol. 70,iss. 9 (2023), s.3348-3352
DOI:
Digital Object Identifier (open in new tab) 10.1109/tcsii.2023.3263524
Sources of funding:
  • Free publication
Verified by:
Gdańsk University of Technology

seen 81 times

Recommended for you

Meta Tags