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  5. Hybrid statistical and numerical analysis in structural optimization of silicon-based RF detector in 5G network
 
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Hybrid statistical and numerical analysis in structural optimization of silicon-based RF detector in 5G network

Journal
Mathematics
ISSN
2227-7390
Date Issued
2022-01-21
Author(s)
Tan Yi Liang
Universiti Malaysia Perlis
Nor Farhani Zakaria
Universiti Malaysia Perlis
Shahrir Rizal Kasjoo
Universiti Malaysia Perlis
Safizan Shaari
Universiti Malaysia Perlis
Muammar Mohamad Isa
Universiti Malaysia Perlis
Mohd Khairuddin Md Arshad
Universiti Malaysia Perlis
Arun Kumar Singh
Punjab Engineering College
Sharizal Ahmad Sobri
Universiti Malaysia Kelantan
DOI
10.3390/math10030326
Abstract
In this study, a hybrid statistical analysis (Taguchi method supported by analysis of variance (ANOVA) and regression analysis) and numerical analysis (utilizing a Silvaco device simulator) was implemented to optimize the structural parameters of silicon-on-insulator (SOI)-based self-switching diodes (SSDs) to achieve a high responsivity value as a radio frequency (RF) detector. Statistical calculation was applied to study the relationship between the control factors and the output performance of an RF detector in terms of the peak curvature coefficient value and its corresponding bias voltage. Subsequently, a series of numerical simulations were performed based on Taguchi’s experimental design. The optimization results indicated an optimized curvature coefficient and voltage peak of 26.4260 V−1 and 0.05 V, respectively. The alternating current transient analysis from 3 to 10 GHz showed the highest mean current at 5 GHz and a cut-off frequency of approximately 6.50 GHz, indicating a prominent ability to function as an RF detector at 5G related frequencies.
Subjects
  • Silicon-on-insulator ...

  • Self-switching diode ...

  • Curvature coefficient...

  • Taguchi method

  • ANOVA

  • Regression

File(s)
Hybrid Statistical and Numerical Analysis in Structural Optimization of Silicon-Based RF Detector in 5G Network.pdf (2.24 MB)
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Nov 19, 2024
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Acquisition Date
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