Performance Enhancement of Conventional Microstrip Patch Antenna Based on Intelligent FSS Superstrate

In our daily lives, especially in the past few years, wireless communications have become an important and effective era in performing tasks and communicating wirelessly without the need for a physical medium. The most important feature of remote communications is the ease of use and installation in places where it is difficult to communicate physical media, and the possibility of sending information over large distances by employing electromagnetic waves. With this increase in the number of devices and applications connected to the wireless network, there has been crowding, which negatively affected the speed of data transmission. One of the effective solutions proposed by network operators is to switch to the use of high frequencies to meet the users' desire for high data transmission speed. The antenna is one of the most important elements in the wireless communication system. The microstrip antennas are one of the types of antennas used, but they suffer from weak gain and narrow bandwidth, so there is an importance to improve these parameters. In this paper, a teeny sized MPA is simulated and optimised to be operated at the 62 GHz frequency for the personal network applications within the government institutions based on the CST antennas modelling software. In order to improve the MPA performance, an intelligent Frequency Selective Surface (FSS) is used. The FSS is acting as a passive filter to make the antenna more intelligent because it is selectively passing the preferred frequencies or reject the unwanted ones.