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International Journal of Creative and Open Research in Engineering and Management

A Peer-Reviewed, Open-Access International Journal Supporting Multidisciplinary Research, Digital Publishing Standards, DOI Registration, and Academic Indexing.
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ISSN: 3108-1754 (Online)
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ISO Certification: 9001:2015
Publication Fee: 599/- INR
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License: CC BY 4.0
Peer Review: Double Blind
Volume 02, Issue 8

Published on: August 2026

DESIGN AND OPTIMIZATION OF AI-DRIVEN TERAHERTZ ANTENNAS FOR 5G AND 6G COMMUNICATION SYSTEMS

Nitesh kumar Anshuj Jain Laxmi Singh

Department of Electronics & Communication Engineering, Rabindranath Tagore University (RNTU), Bhopal
DOI:https://doi.org/10.55041/ijcope.v2i8.168

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Abstract

This paper proposes an AI-driven multi-parameter optimization framework for terahertz antennas intended for 5G and 6G communication systems. The proposed methodology combines electromagnetic simulation with artificial intelligence and machine-learning-based prediction to establish the relationship between antenna design parameters and key performance indicators. Antenna geometrical parameters are systematically varied during the design-space exploration stage, while parameters such as resonant frequency, impedance bandwidth, reflection coefficient, gain, radiation efficiency, and radiation characteristics are considered as optimization objectives. A trained AI model is subsequently employed as a surrogate predictor to estimate antenna performance and identify promising design configurations before final electromagnetic validation. This approach reduces the dependency on repeated computationally intensive simulations and enables efficient multi-objective optimization. The proposed framework provides a systematic pathway toward intelligent THz antenna design and can be extended to adaptive and application-specific antenna optimization for future 5G and 6G communication platforms.

Keywords— Terahertz antenna, 5G, 6G, artificial intelligence, machine learning, multi-parameter optimization, antenna design, electromagnetic optimization, surrogate modeling, wireless communication.

How to Cite this Paper

kumar, N., Jain, A. & Singh, L. (2026). Design and Optimization of AI-Driven Terahertz Antennas for 5G and 6G Communication Systems. International Journal of Creative and Open Research in Engineering and Management, <i>02</i>(8), 1-9. https://doi.org/10.55041/ijcope.v2i8.168

kumar, Nitesh, et al.. "Design and Optimization of AI-Driven Terahertz Antennas for 5G and 6G Communication Systems." International Journal of Creative and Open Research in Engineering and Management, vol. 02, no. 8, 2026, pp. 1-9. doi:https://doi.org/10.55041/ijcope.v2i8.168.

kumar, Nitesh,Anshuj Jain, and Laxmi Singh. "Design and Optimization of AI-Driven Terahertz Antennas for 5G and 6G Communication Systems." International Journal of Creative and Open Research in Engineering and Management 02, no. 8 (2026): 1-9. https://doi.org/https://doi.org/10.55041/ijcope.v2i8.168.

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  • •All submissions are screened under plagiarism detection.
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  • •Peer Review Type: Double-Blind Peer Review
  • •Published on: Aug 21 2026
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