Machine Learning Based High Gain Wireless Antenna Design Operating at 5.2GHz Frequency

Authors : Ekrem AKAR

Pages : 94-98

View : 16 | Download : 9

Publication Date : 2022-12-26

Article Type : Research Paper

Abstract :When it comes to 3G, 4G, and the latest technology 5G, the relevance of wireless communication is growing day by day in the digitalizing and developing globe. The increased usage of wireless communication has highlighted the necessity for wireless communication equipment. When previous elements failed to match the demands, the demand for a superior version arose. WLAN networks are one of the most extensively utilized types of wireless communication. The most crucial components for data flow in this system are antennas. To address the demands and make appropriate transfers, several studies have been conducted. The frequency of the planned antenna is 5.2 GHz. With the integration of machine learning, the prediction system has been activated. It is planned that multiband and wideband antenna designs will be developed to facilitate wireless communications in this vast frequency range. The major goal of this article is to build a single antenna that can operate across several frequency ranges rather than multiple antennas that operate at various frequencies. About 0.33 is reserved for forecasting. An analysis was made on 500 iterations of 3 parameters. The FR-4 substrate with a dielectric coefficient of 4.3 is utilized in this antenna design. Copper have been utilizing as the material for the ground and patch components. 5.2 GHz working frequency, the return loss is 31.24 dB, bandwidth range is 4.9-5.38, gain is 3.57 dB.
Keywords : Antenna Design, WLANs, Wireless, Machine Learning, Microstrip