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

Yi Liang, T, Zakaria, NF, Kasjoo, SR, Shaari, S, Isa, MM, Arshad, MKM, Singh, AK and Ahmad Sobri, S ORCID: https://orcid.org/0000-0002-7491-015X, 2022. Hybrid statistical and numerical analysis in structural optimization of silicon-based RF detector in 5G network. Mathematics, 10 (3): 326. ISSN 2227-7390

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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.

Item Type:	Journal article
Publication Title:	Mathematics
Creators:	Yi Liang, T., Zakaria, N.F., Kasjoo, S.R., Shaari, S., Isa, M.M., Arshad, M.K.M., Singh, A.K. and Ahmad Sobri, S.
Publisher:	MDPI
Date:	21 January 2022
Volume:	10
Number:	3
ISSN:	2227-7390
Identifiers:	Number Type 10.3390/math10030326 DOI 2473848 Other
Rights:	This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Divisions:	Schools > School of Science and Technology
Record created by:	Jonathan Gallacher
Date Added:	23 Jul 2025 12:11
Last Modified:	23 Jul 2025 12:11
URI:	https://irep.ntu.ac.uk/id/eprint/54001

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