학술논문

A Design Methodology for Optimization of Printed Antenna Based on AI-Driven SADEA Technique
Document Type
Conference
Source
2023 International Conference on Recent Advances in Electrical, Electronics, Ubiquitous Communication, and Computational Intelligence (RAEEUCCI) Recent Advances in Electrical, Electronics, Ubiquitous Communication, and Computational Intelligence (RAEEUCCI), 2023 International Conference on. :1-4 Apr, 2023
Subject
Communication, Networking and Broadcast Technologies
Computing and Processing
Photonics and Electrooptics
Signal Processing and Analysis
Patch antennas
Simulation
Design methodology
Complexity theory
Wireless fidelity
Optimization
Computational intelligence
patch antenna
optimization techniques
SADEA
gain improvement
Wi-Fi 6E band
Language
Abstract
This research article investigates the analysis of E-shaped patch antenna operating at the Wi-Fi 6E band, which is optimized by AI-driven optimization technique (SADEA) for the sake of increasing antenna performances with the decrease of operational complexity. The investigation of performance is at its optimum involves optimizing the design characteristics at the application requirement Then, the results of the simulation are evaluated to produce suitable outcomes including enhanced gain, efficiency, and desirable radiation pattern throughout all of the Wi- Fi 6E band. The antenna parameters as well as entire process of working scenarios are evaluated by using MATLAB R2022b, which usually start with the phenomena of optimizing those parameters that are essentially to increase the antenna's overall performance.