Performance Optimization of a Slot Antenna using Bayesian Optimization

Shunsuke Yamamoto, Kohei Takegami, Haruichi Kanaya

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)


This paper presents the performance optimization of a slot antenna using Bayesian Optimization (BO). BO is an optimization technique that can obtain accurate results in a short time with a small amount of data. Two slot antennas with a simple structure for 5GHz-band are designed. The one is the reference slot antenna, which is designed by EM simulation without BO, and the other is the optimized slot antenna which is optimized using BO from the reference slot antenna. One design parameter is optimized to ensure that the optimal solution is obtained. Both the reference slot antenna and the optimized slot antenna are fabricated and tested. EM simulated and measured results have good agreement. As a consequence, the optimized slot antenna provided better antenna characteristics such as reflection coefficient than those of the reference slot antenna. Compared with another optimization technique which is the parametric analysis of the EM simulator, BO achieved reducing the number of EM simulations drastically to find the optimal value.

Original languageEnglish
Title of host publication2022 IEEE Radio and Wireless Symposium, RWS 2022
PublisherIEEE Computer Society
Number of pages3
ISBN (Electronic)9781665434621
Publication statusPublished - 2022
Event2022 IEEE Radio and Wireless Symposium, RWS 2022 - Las Vegas, United States
Duration: Jan 16 2022Jan 19 2022

Publication series

NameIEEE Radio and Wireless Symposium, RWS
ISSN (Print)2164-2958
ISSN (Electronic)2164-2974


Conference2022 IEEE Radio and Wireless Symposium, RWS 2022
Country/TerritoryUnited States
CityLas Vegas

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Computer Science Applications
  • Electrical and Electronic Engineering
  • Communication


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