Equivalent Circuit Model for Varactor-Loaded Reconfigurable Intelligent Surfaces

Kitch Mensah-Bonsu; Binbin Yang; Abdullah Eroglu; Hao Xu; Lijun Qian

doi:10.1109/ap-s/usnc-ursi47032.2022.9887171

Equivalent Circuit Model for Varactor-Loaded Reconfigurable Intelligent Surfaces

Kitch Mensah-Bonsu
, Binbin Yang
, Abdullah Eroglu
, Hao Xu
, Lijun Qian

Electrical and Computer Engineering

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

Abstract

Reconfigurable intelligent surfaces (RIS) have gained a lot of attention due to its ability to perform low-cost beam steering for applications in emerging smart radio environments. An equivalent circuit model for a varactor-loaded microstrip RIS element, covering a wide tuning range and providing accurate physics-based circuit model for both reflection phases and magnitudes for a normal incidence is developed and presented. The circuit model facilitates system level study of RIS-based wireless communication networks with realistic analytical RIS responses as parameter inputs.

Original language	English
Title of host publication	2022 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, AP-S/URSI 2022
DOIs	https://doi.org/10.1109/ap-s/usnc-ursi47032.2022.9887171
State	Published - 2022

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10.1109/ap-s/usnc-ursi47032.2022.9887171

Cite this

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title = "Equivalent Circuit Model for Varactor-Loaded Reconfigurable Intelligent Surfaces",

abstract = "Reconfigurable intelligent surfaces (RIS) have gained a lot of attention due to its ability to perform low-cost beam steering for applications in emerging smart radio environments. An equivalent circuit model for a varactor-loaded microstrip RIS element, covering a wide tuning range and providing accurate physics-based circuit model for both reflection phases and magnitudes for a normal incidence is developed and presented. The circuit model facilitates system level study of RIS-based wireless communication networks with realistic analytical RIS responses as parameter inputs.",

author = "Kitch Mensah-Bonsu and Binbin Yang and Abdullah Eroglu and Hao Xu and Lijun Qian",

year = "2022",

doi = "10.1109/ap-s/usnc-ursi47032.2022.9887171",

language = "English",

booktitle = "2022 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, AP-S/URSI 2022",

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T1 - Equivalent Circuit Model for Varactor-Loaded Reconfigurable Intelligent Surfaces

AU - Mensah-Bonsu, Kitch

AU - Yang, Binbin

AU - Eroglu, Abdullah

AU - Xu, Hao

AU - Qian, Lijun

PY - 2022

Y1 - 2022

N2 - Reconfigurable intelligent surfaces (RIS) have gained a lot of attention due to its ability to perform low-cost beam steering for applications in emerging smart radio environments. An equivalent circuit model for a varactor-loaded microstrip RIS element, covering a wide tuning range and providing accurate physics-based circuit model for both reflection phases and magnitudes for a normal incidence is developed and presented. The circuit model facilitates system level study of RIS-based wireless communication networks with realistic analytical RIS responses as parameter inputs.

AB - Reconfigurable intelligent surfaces (RIS) have gained a lot of attention due to its ability to perform low-cost beam steering for applications in emerging smart radio environments. An equivalent circuit model for a varactor-loaded microstrip RIS element, covering a wide tuning range and providing accurate physics-based circuit model for both reflection phases and magnitudes for a normal incidence is developed and presented. The circuit model facilitates system level study of RIS-based wireless communication networks with realistic analytical RIS responses as parameter inputs.

UR - https://dx.doi.org/10.1109/AP-S/USNC-URSI47032.2022.9887171

U2 - 10.1109/ap-s/usnc-ursi47032.2022.9887171

DO - 10.1109/ap-s/usnc-ursi47032.2022.9887171

M3 - Conference contribution

BT - 2022 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, AP-S/URSI 2022

ER -

Equivalent Circuit Model for Varactor-Loaded Reconfigurable Intelligent Surfaces

Abstract

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