A Design Methodology of MMIC Power Amplifiers Using AI-driven Design Techniques

Liyuan Xue; Haijun Fan; Yuan Ding; Bo Liu

doi:10.1109/smacd58065.2023.10192155

A Design Methodology of MMIC Power Amplifiers Using AI-driven Design Techniques

Liyuan Xue^*, Haijun Fan, Yuan Ding, Bo Liu

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Citation (Scopus)

413 Downloads (Pure)

Abstract

Designing a monolithic microwave integrated circuit (MMIC) power amplifier (PA) is challenging due to the involvement of multiple stages with tens of parameters and several types of simulations. To address this challenge, artificial intelligence (AI) techniques have gained significant attention. This paper presents an AI-driven design methodology for MMIC PAs, which incorporates a surrogate model-assisted global optimization algorithm, data-flow interface, and simulators. The proposed methodology is verified on a practical 3-stage PA design case that operates in 27–31 GHz and contains 30 variables. Notably, The case is successfully synthesized without an initial solution and exhibits good in-band performance consistency. The obtained results demonstrate the potential of AI-driven PA design for future applications.

Original language	English
Title of host publication	19th International Conference on Synthesis, Modeling, Analysis and Simulation Methods and Applications to Circuit Design (SMACD)
Publisher	IEEE
ISBN (Electronic)	9798350332650
DOIs	https://doi.org/10.1109/smacd58065.2023.10192155
Publication status	Published - 31 Jul 2023
Event	19th International Conference on Synthesis, Modeling, Analysis and Simulation Methods, and Applications to Circuit Design 2023 - Madeira Island, Portugal Duration: 3 Jul 2023 → 5 Jul 2023 https://smacd-conference.org/

Conference

Conference	19th International Conference on Synthesis, Modeling, Analysis and Simulation Methods, and Applications to Circuit Design 2023
Abbreviated title	SMACD 2023
Country/Territory	Portugal
Period	3/07/23 → 5/07/23
Internet address	https://smacd-conference.org/

Keywords

artificial intelligence
global optimization
millimeter-wave
power amplifier

ASJC Scopus subject areas

Computer Graphics and Computer-Aided Design
Electrical and Electronic Engineering
Modelling and Simulation
Instrumentation

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10.1109/smacd58065.2023.10192155

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title = "A Design Methodology of MMIC Power Amplifiers Using AI-driven Design Techniques",

abstract = "Designing a monolithic microwave integrated circuit (MMIC) power amplifier (PA) is challenging due to the involvement of multiple stages with tens of parameters and several types of simulations. To address this challenge, artificial intelligence (AI) techniques have gained significant attention. This paper presents an AI-driven design methodology for MMIC PAs, which incorporates a surrogate model-assisted global optimization algorithm, data-flow interface, and simulators. The proposed methodology is verified on a practical 3-stage PA design case that operates in 27–31 GHz and contains 30 variables. Notably, The case is successfully synthesized without an initial solution and exhibits good in-band performance consistency. The obtained results demonstrate the potential of AI-driven PA design for future applications.",

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author = "Liyuan Xue and Haijun Fan and Yuan Ding and Bo Liu",

year = "2023",

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booktitle = "19th International Conference on Synthesis, Modeling, Analysis and Simulation Methods and Applications to Circuit Design (SMACD)",

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note = "19th International Conference on Synthesis, Modeling, Analysis and Simulation Methods, and Applications to Circuit Design 2023, SMACD 2023 ; Conference date: 03-07-2023 Through 05-07-2023",

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Xue, L, Fan, H , Ding, Y & Liu, B 2023, A Design Methodology of MMIC Power Amplifiers Using AI-driven Design Techniques. in 19th International Conference on Synthesis, Modeling, Analysis and Simulation Methods and Applications to Circuit Design (SMACD)., 10192155, IEEE, 19th International Conference on Synthesis, Modeling, Analysis and Simulation Methods, and Applications to Circuit Design 2023, Portugal, 3/07/23. https://doi.org/10.1109/smacd58065.2023.10192155

TY - GEN

T1 - A Design Methodology of MMIC Power Amplifiers Using AI-driven Design Techniques

AU - Xue, Liyuan

AU - Fan, Haijun

AU - Ding, Yuan

AU - Liu, Bo

PY - 2023/7/31

Y1 - 2023/7/31

N2 - Designing a monolithic microwave integrated circuit (MMIC) power amplifier (PA) is challenging due to the involvement of multiple stages with tens of parameters and several types of simulations. To address this challenge, artificial intelligence (AI) techniques have gained significant attention. This paper presents an AI-driven design methodology for MMIC PAs, which incorporates a surrogate model-assisted global optimization algorithm, data-flow interface, and simulators. The proposed methodology is verified on a practical 3-stage PA design case that operates in 27–31 GHz and contains 30 variables. Notably, The case is successfully synthesized without an initial solution and exhibits good in-band performance consistency. The obtained results demonstrate the potential of AI-driven PA design for future applications.

AB - Designing a monolithic microwave integrated circuit (MMIC) power amplifier (PA) is challenging due to the involvement of multiple stages with tens of parameters and several types of simulations. To address this challenge, artificial intelligence (AI) techniques have gained significant attention. This paper presents an AI-driven design methodology for MMIC PAs, which incorporates a surrogate model-assisted global optimization algorithm, data-flow interface, and simulators. The proposed methodology is verified on a practical 3-stage PA design case that operates in 27–31 GHz and contains 30 variables. Notably, The case is successfully synthesized without an initial solution and exhibits good in-band performance consistency. The obtained results demonstrate the potential of AI-driven PA design for future applications.

KW - artificial intelligence

KW - global optimization

KW - millimeter-wave

KW - power amplifier

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U2 - 10.1109/smacd58065.2023.10192155

DO - 10.1109/smacd58065.2023.10192155

M3 - Conference contribution

BT - 19th International Conference on Synthesis, Modeling, Analysis and Simulation Methods and Applications to Circuit Design (SMACD)

PB - IEEE

T2 - 19th International Conference on Synthesis, Modeling, Analysis and Simulation Methods, and Applications to Circuit Design 2023

Y2 - 3 July 2023 through 5 July 2023

ER -

A Design Methodology of MMIC Power Amplifiers Using AI-driven Design Techniques

Abstract

Conference

Keywords

ASJC Scopus subject areas

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