Automated Design of Antennas Using AI Techniques: A Review of Contemporary Methods and Applications

Mobayode O. Akinsolu, Qiang Hua, Bo Liu

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review


The automated design of antennas made possible through the use of artificial intelligence (AI) techniques is attracting much attention. This development can be mainly attributed to the reduced design time and the higher quality of design solutions that AI-driven antenna optimization methods provide in comparison to their more traditional counterparts. Due to the growing need to fulfill more stringent design specifications and functional requirements for both present-day and future wireless communication systems, the design and development of antennas and antenna systems have increased both in scope and complexity, such that conventional methodologies are often not fit for an efficient practical implementation. In this paper, a brief overview of some of the latest AI-based techniques for the design and optimization of contemporary antennas is provided with the goal of providing information on recent research to researchers in this growing area of interest.
Original languageEnglish
Title of host publication18th European Conference on Antennas and Propagation (EuCAP), Proceedings
Number of pages4
ISBN (Electronic)9788831299091
ISBN (Print)9798350394436
Publication statusPublished - 26 Apr 2024
Event18th European Conference on Antennas and Propagation - Glasgow, United Kingdom
Duration: 17 Mar 202422 Mar 2024
Conference number: 18


Conference18th European Conference on Antennas and Propagation
Abbreviated titleEuCAP 2024
Country/TerritoryUnited Kingdom
Internet address

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