Genetic Algorithm Optimization Applied to the Design of a Novel Arc-Truncated and Slotted Cylindrical Equilateral Triangular Microstrip Antenna on a Suspended Substrate

In this paper, genetic-based design of a novel equilateral triangular microstrip antenna on a cylindrical surface has been presented. Aim of the design is to obtain an antenna which operates in the frequency range between 3.4 GHz and 3.8 GHz for 5G mobile communication systems. Firstly, a conventional equilateral triangular microstrip antenna on a cylindrical dielectric substrate is designed. Then, arc-truncation of the antenna tips and slot are introduced to the antenna on a suspended substrate to obtain resonant frequency in the desired interval and increases in the gain and bandwidth of the antenna. In order to obtain geometric values of the slot sizes, thickness of the air gap, width of microstrip line feed and radii of arc-truncations that give the desired performance of the antenna, Genetic Algorithm in the optimization tool of ANSYS High Frequency Structure Simulator (HFSS) has been used. As a result resonant frequency has been obtained in the desired frequency range and increases in gain and bandwidth of a novel antenna have been observed from the simulation results obtained via HFSS.