Design of Antenna Parameters Using Optimization Techniques: A Review
Nima Khodadadi*1, Mostafa Abotaleb 2, Pushan Kumar Dutta3
1 Department of Civil and Environmental Engineering, Florida International University,
Miami, FL 33199, USA
2 Department of System Programming, South Ural State University,
454080 Chelyabinsk, Russia
3 Artificial Intelligence and Robotics, School of Engineering and Technology,
Amity University Kolkata,India
Emails: nima.khodadadi@miami.edu; abotalebmostafa@bk.ru; pkdutta@kol.amity.edu
Abstract
The use of machine learning (ML) and deep learning (DL) algorithms to solve mathematical issues in wireless communications has propelled AI-assisted communications to the forefront in recent years. Beginning with an overview of AI, CEM, and the function of AI/ML/DL in antennas, this paper moves on to discuss the topic in more depth. In this article, we show the results of our research into ML/DL algorithms and the methods we used to optimize antenna settings using these algorithms. Finally, we show several examples of how AI can be used in antennas.
Keywords: Artificial Intelligence; Antenna Optimization technique; Deep learning; Machine learning.