TELKOMNIKA Telecommunication Computing Electronics and Control
Design and simulation of high efficiency rectangular microstrip patch antenna using artificial intelligence for 6G era

TELKOMNIKA Telecommunication Computing Electronics and Control
Design and simulation of high efficiency rectangular microstrip patch antenna using artificial intelligence for 6G era

Adaptive network-based fuzzy
inference system
Antenna
Microstrip
Return loss
Sixth-generation

Sixth-generation (6G) applications require ultra-speed and large-capacity
wireless communication services. Millimeter wave technology can be used to
satisfy these requirements, especially at 28 GHz. This paper study used the
Ansys® high-frequency structure simulator (HFSS) to design and simulate
rectangular and slotted rectangular microstrip patch antennas (MSPAs) at 28
GHz. The proposed designs contained a Rogers RT/Duroid® 5,880 substrate
with a dielectric constant (εr) of 2.2 and a loss tangent of 0.0009. The
performance of both the proposed antennas was compared to determine which
was more efficient. This present study also used an adaptive network-based
fuzzy inference system (ANFIS) to determine the optimal frequency and gain.
The main objective of the manuscript is to use artificial intelligence (AI) to
obtain the best design results for MSPA. The results indicated, with the use of
AI, the gain of the rectangular and slotted antennas, was 6.3943 and 6.3094
dB at an efficiency of 98.338% and 98.651%, respectively.

Saad A. Ayoob, Firas S. Alsharbaty, Amina N. Hammodat

http://telkomnika.uad.ac.id

Aug 30, 2023

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