Terahertz Antenna Design Using Machine Learning Assisted Global Optimization Techniques

Zubair, M., Akinsolu, M. O., Abohmra, A., Imran, M. A. , Liu, B. and Abbasi, Q. H. (2023) Terahertz Antenna Design Using Machine Learning Assisted Global Optimization Techniques. In: 2023 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, Portland, Oregon, USA, 23–28 July 2023, pp. 1007-1008. ISBN 9781665442282 (doi: 10.1109/USNC-URSI52151.2023.10237823)

Abstract

In the terahertz (THz) frequency band, high path loss necessitates designing the antenna with high-gain characteristics, making it challenging to obtain an optimal design solution. This paper investigates the feasibility of artificial intelligence (AI)-driven antenna design techniques to address the challenges, specifically the Surrogate Model- assisted Differential Evolution for Antenna Synthesis (SADEA-I) algorithm. SADEA-I has been employed for the first time (to the best of our knowledge) to optimize THz antennas. The simulation results show that SADEA-I is more effective than conventional design methodologies. Additionally, it takes only 30 hours to perform the global optimization, and it is a fully automated process and does not require any initial design.

• Item Type: Conference Proceedings
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Zubair, Muhammad and Abbasi, Professor Qammer and Abohmra, Abdoalbaset Ali Yusef and Imran, Professor Muhammad and Liu, Professor Bo
• Authors: Zubair, M., Akinsolu, M. O., Abohmra, A., Imran, M. A., Liu, B., and Abbasi, Q. H.
• College/School: College of Science and Engineering; College of Science and Engineering > School of Engineering > Autonomous Systems and Connectivity; College of Science and Engineering > School of Engineering > Electronics and Nanoscale Engineering
• ISSN: 1947-1491
• ISBN: 9781665442282
• Published Online: 07 September 2023
• Copyright Holders: Copyright © 2023 IEEE
• First Published: First published in 2023 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting: 1007-1008
• Publisher Policy: Reproduced in accordance with the publisher copyright policy

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