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Autori principali: Wang, Jinghe, Tang, Wankai, Liang, Jing Cheng, Zhang, Lei, Dai, Jun Yan, Li, Xiao, Jin, Shi, Cheng, Qiang, Cui, Tie Jun
Natura: Preprint
Pubblicazione: 2022
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Accesso online:https://arxiv.org/abs/2211.00323
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author Wang, Jinghe
Tang, Wankai
Liang, Jing Cheng
Zhang, Lei
Dai, Jun Yan
Li, Xiao
Jin, Shi
Cheng, Qiang
Cui, Tie Jun
author_facet Wang, Jinghe
Tang, Wankai
Liang, Jing Cheng
Zhang, Lei
Dai, Jun Yan
Li, Xiao
Jin, Shi
Cheng, Qiang
Cui, Tie Jun
contents The reconfigurable intelligent surface (RIS) has received a lot of interest because of its capacity to reconfigure the wireless communication environment in a cost- and energy-efficient way. However, the realistic power consumption modeling and measurement validation of RIS has received far too little attention. Therefore, in this work, we model the power consumption of RIS and conduct measurement validations using various RISs to fill this vacancy. Firstly, we propose a practical power consumption model of RIS. The RIS hardware is divided into three basic parts: the FPGA control board, the drive circuits, and the RIS unit cells. The power consumption of the first two parts is modeled as $P_{\text {static}}$ and that of the last part is modeled as $P_{\text {units}}$. Expressions of $P_{\text {static}}$ and $P_{\text {units}}$ vary amongst different types of RISs. Secondly, we conduct measurements on various RISs to validate the proposed model. Five different RISs including the PIN diode, varactor diode, and RF switch types are measured, and measurement results validate the generality and applicability of the proposed power consumption model of RIS. Finally, we summarize the measurement results and discuss the approaches to achieve the low-power-consumption design of RIS-assisted wireless communication systems.
format Preprint
id arxiv_https___arxiv_org_abs_2211_00323
institution arXiv
publishDate 2022
record_format arxiv
spellingShingle Reconfigurable Intelligent Surface: Power Consumption Modeling and Practical Measurement Validation
Wang, Jinghe
Tang, Wankai
Liang, Jing Cheng
Zhang, Lei
Dai, Jun Yan
Li, Xiao
Jin, Shi
Cheng, Qiang
Cui, Tie Jun
Information Theory
Signal Processing
The reconfigurable intelligent surface (RIS) has received a lot of interest because of its capacity to reconfigure the wireless communication environment in a cost- and energy-efficient way. However, the realistic power consumption modeling and measurement validation of RIS has received far too little attention. Therefore, in this work, we model the power consumption of RIS and conduct measurement validations using various RISs to fill this vacancy. Firstly, we propose a practical power consumption model of RIS. The RIS hardware is divided into three basic parts: the FPGA control board, the drive circuits, and the RIS unit cells. The power consumption of the first two parts is modeled as $P_{\text {static}}$ and that of the last part is modeled as $P_{\text {units}}$. Expressions of $P_{\text {static}}$ and $P_{\text {units}}$ vary amongst different types of RISs. Secondly, we conduct measurements on various RISs to validate the proposed model. Five different RISs including the PIN diode, varactor diode, and RF switch types are measured, and measurement results validate the generality and applicability of the proposed power consumption model of RIS. Finally, we summarize the measurement results and discuss the approaches to achieve the low-power-consumption design of RIS-assisted wireless communication systems.
title Reconfigurable Intelligent Surface: Power Consumption Modeling and Practical Measurement Validation
topic Information Theory
Signal Processing
url https://arxiv.org/abs/2211.00323