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Improving wireless data efficiency through the development of terahertz antennas with unique photonic crystal air holes

  • Pandian Ramanathan , Sathish Kumar Danasegaran ORCID logo EMAIL logo , Lalithakumari Swaminathan , Rajalakshmi Gopalakrishnan and Neeththi Aadithiya Balakrishnan
Published/Copyright: June 12, 2025
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Frequenz
From the journal Frequenz

Abstract

Two important performance measures in wireless communication are data rate and bandwidth. It is necessary to adjust wireless technology to achieve the highest possible data rate. Terahertz (THz) frequency is increasingly being used in a variety of applications because to its non-ionizing properties. THz technology can achieve high data rates of up to Tera bits per second (Tbps). The proposed antenna incorporates THz technology as well as a photonic crystal (PhC) structure to improve antenna performance. This work introduces a unique Double Pie Drilled Patch antenna (DPDPA) and investigates its characteristics using the antenna tool. This study optimizes the suggested antennas by adjusting the PhC air hole shapes, lattice value, and hole dimensions. The optimized DPDPA based on the rectangular air hole PhC model, produces −78.41 dB return loss (RL), 1.0002 VSWR, and 23.5 dBi gain at 2.10 THz frequency. Delivering a rapid data rate in wireless connections and other diverse streams is aided by the suggested patch antenna.


Corresponding author: Sathish Kumar Danasegaran, Department of Electronics and Communication Engineering, Sri Eshwar College of Engineering, Coimbatore, Tamil Nadu, India, E-mail:

  1. Research ethics: Not applicable.

  2. Informed consent: Not applicable.

  3. Author contributions: Authors SKD and LS contributed to the study and conception. Antenna design and analysis were performed by PR and RG. NAB and SKD wrote the draft of the manuscript. All authors read and approved the final manuscript. The corresponding author have accepted responsibility for the entire content of this manuscript and approved its submission.

  4. Use of Large Language Models, AI and Machine Learning Tools: None declared.

  5. Conflict of interest: The authors state no conflict of interest.

  6. Research funding: None declared.

  7. Data availability: Not applicable.

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Received: 2024-12-24
Accepted: 2025-05-19
Published Online: 2025-06-12

© 2025 Walter de Gruyter GmbH, Berlin/Boston

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