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High-Accuracy Reconfigurable Intelligent Surface Using Independently Controllable Methods
Zeng, Xintu1; Hu, Qunqiang1; Mao, Chunxu2; Yang, Huiping1,3; Wu, Qingqing4; Tang, Jie1; Zhao, Xiao Lan1; Yin Zhang, Xiu1
2021
Conference Name2021 IEEE International Workshop on Electromagnetics: Applications and Student Innovation Competition, iWEM 2021
Source PublicationIEEE International Workshop on Electromagnetics: Applications and Student Innovation Competition, iWEM 2021 - Proceedings
Conference Date28 November 2021through 30 November 2021
Conference PlaceGuangzhou
PublisherInstitute of Electrical and Electronics Engineers Inc.
Abstract

Reconfigurable Intelligent Surface (RIS) to aid wireless communication has received much concern in academia and industry. However, the element in the existing RIS design method cannot be controlled individually, thereby the accuracy and efficiency of beamforming are insufficient. In this paper, a method of realizing RIS with high accuracy by FPGA is proposed. On the basis of making use of FPGA to control the positive intrinsic-negative (PIN) diodes, 2-bit elements on the RIS are available and can be controlled individually in an unsophisticated way. The experimental results indicate that our proposed method can significantly improve the accuracy and efficiency of beamforming.

KeywordBeamforming Fpga Pin Diodes Reconfigurable Intelligent Surface
DOI10.1109/iWEM53379.2021.9790555
URLView the original
Language英語English
Scopus ID2-s2.0-85132966019
Fulltext Access
Citation statistics
Document TypeConference paper
CollectionTHE STATE KEY LABORATORY OF INTERNET OF THINGS FOR SMART CITY (UNIVERSITY OF MACAU)
Affiliation1.School of Electronic and Information Engineering, South China University of Technology, Guangzhou, 510641, China
2.Institute for Communication Systems (ICS), Home of the 5G Innovation Centre (5GIC), University of Surrey, Guildford, GU2 7XH, United Kingdom
3.School of Software, South China Normal University, Guangzhou, 510631, China
4.State Key Laboratory of Internet of Things for Smart City, University of Macau, 999078, Macao
Recommended Citation
GB/T 7714
Zeng, Xintu,Hu, Qunqiang,Mao, Chunxu,et al. High-Accuracy Reconfigurable Intelligent Surface Using Independently Controllable Methods[C]:Institute of Electrical and Electronics Engineers Inc., 2021.
APA Zeng, Xintu., Hu, Qunqiang., Mao, Chunxu., Yang, Huiping., Wu, Qingqing., Tang, Jie., Zhao, Xiao Lan., & Yin Zhang, Xiu (2021). High-Accuracy Reconfigurable Intelligent Surface Using Independently Controllable Methods. IEEE International Workshop on Electromagnetics: Applications and Student Innovation Competition, iWEM 2021 - Proceedings.
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