Multilayer Meta-Surface Low-Profile Antenna Using Artificial Intelligence Processing for 5G and optical Communication

In this article, a low-profile high-gain meta-surface artificial intelligence process-based broadband microstrip patch antenna, for 5G wireless communications is presented. The FR4 epoxy substrate material with a dielectric constant of 4.4 and a thickness of 1.6, is used for the antenna to operate at a 20 GHz resonating frequency. The proposed antenna is simulated using the HFSS to design a simple antenna with a low profile and proper operational characteristics. Moreover, a new type of meta surface antenna with a modified patch is elongated on the surface of the antenna. The simulation of the proposed antenna highlights that the studied antenna has a maximum reflection coefficient of -34 dB, with a bandwidth of 17GHz to 23GHz. The perfect results, with a low profile and antenna size of 1.33λ 0  × 1.33λ 0  × 0.106 λ 0 , were measured and fabricated. The meta surface appeared in the form of a mesh type of structure, fed by a microstrip patch antenna with coaxial feed cells, revealing a good arrangement with the simulated one. Moreover, the meta surface with artificial technology has empowered the arrival of new ideas and explanations in the strategy of antennas for the control of electromagnetic waves. The measured results show that the proposed antenna has the perfect axial ratio, along with a 10dB impedance bandwidth achieved with a valued stable gain of 9 to 10 dBi.