Artificial Intelligence based Antenna Design for Future Millimeter Wave Wireless Communication in Fifth Generation

Abstract

In this paper, we proposed an antenna, which is suitable for the millimeter wave rehash. The single band antenna contains new opening stacked on the oozing patch with the 50 ohms microstrip line enabling utilized. This single band antenna was reproduced on a FR4 dielectric substrate have relative permittivity 4.4, catastrophe redirection 0.02, and stature 1.6 mm. The antenna used to be reenacted by using Electromagnetic propagation, PC programming improvement High Frequency Structural Simulator. The parameters of the results properly clear and exhibited the composition for millimeter wave 5G faraway application at 38 GHz. When all is said in done, antenna necessities are determined for a lot of frequencies or recurrence band. This paper proposes a cross breed technique utilizing artificial knowledge to structure and improve the array antennas. Right off the bat, a direct array antenna is structured in matlab programming. A blunder in tilt is acquainted physically with the array components. Thinking about this as a mutilation progressively, this blunder is enhanced utilizing Artificial Neural Networks calculations. The neural system chips away at the demonstrating and improving the antenna arrays, by working on the geometric parameters and by considering some foreordained criteria. Artificial Intelligence is the instrument used to upgrade the mistake since it is can create the outcomes extremely quick contrasted with some other diverse improvement calculations. The outcomes are recreated utilizing Aerial tool kit and Artificial Neural Network tool compartment in Matlab