@article{9903377,

title = {Design of Antennas through Artificial Intelligence: State-of-the-Art and Challenges},

author = {Sotirios K Goudos and Panagiotis D Diamantoulakis and Mohammad A Matin and Panagiotis Sarigiannidis and Shaohua Wan and George K Karagiannidis},

doi = {10.1109/MCOM.006.2200124},

issn = {1558-1896},

year  = {2022},

date = {2022-09-26},

journal = {IEEE Communications Magazine},

pages = {1-7},

abstract = {Antenna is a critical part of the RF front end of a communication system. In this study, we present some of the major applications of artificial intelligence (AI) to antenna design. We review the previous research and applications of several AI techniques such as evolutionary algorithms,machine learning, and knowledge representation ontologies. Applications may vary from antenna design to antenna features evaluation in a research field, which is rapidly growing. Finally, we summarize the challenges of new AI techniques in antenna design based on the current state-of-the-art and predict its future research directions.},

keywords = {Antenna arrays, Antennas, Behavioral sciences, Codes, Genetic algorithms, Linear antenna arrays, Optimization},

pubstate = {published},

tppubtype = {article}

}