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Wireless Communications With Reconfigurable Intelligent Surface: Path Loss Modeling and Experimental Measurement

IEEE Transactions on Wireless Communications · 2020 · Vol. 20(1) · pp. 421–439
Wankai TangMing Zheng ChenXiangyu ChenJun Yan DaiYu HanMarco Di RenzoYong ZengShi JinQiang ChengTie Jun Cui

Abstract

Reconfigurable intelligent surfaces (RISs) comprised of tunable unit cells have recently drawn significant attention due to their superior capability in manipulating electromagnetic waves. In particular, RIS-assisted wireless communications have the great potential to achieve significant performance improvement and coverage enhancement in a cost-effective and energy-efficient manner, by properly programming the reflection coefficients of the unit cells of RISs. In this article, free-space path loss models for RIS-assisted wireless communications are developed for different scenarios by studying the physics and electromagnetic nature of RISs. The proposed models, which are first validated through extensive simulation results, reveal the relationships between the free-space path loss of RIS-assisted wireless communications and the distances from the transmitter/receiver to the RIS, the size of the RIS, the near-field/far-field effects of the RIS, and the radiation patterns of antennas and unit cells. In addition, three fabricated RISs (metasurfaces) are utilized to further corroborate the theoretical findings through experimental measurements conducted in a microwave anechoic chamber. The measurement results match well with the modeling results, thus validating the proposed free-space path loss models for RISs, which may pave the way for further theoretical studies and practical applications in this field.

Advanced Wireless Communication TechnologiesAdvanced Antenna and Metasurface TechnologiesAntenna Design and AnalysisPath lossWirelessAnechoic chamberTransmitterComputer scienceElectronic engineeringReflection (computer programming)Field (mathematics)MicrowaveElectrical engineering

Funding

  • National Science Foundation
  • European Commission
  • National Natural Science Foundation of China
  • Southeast University
  • Horizon 2020 Framework Programme
  • National Key Research and Development Program of China
  • Fundamental Research Funds for the Central Universities
  • National Mobile Communications Research Laboratory, Southeast University
Citations
1,566
FWCI
100.75
field-weighted impact
References
62
Percentile
100%
vs. same field & year
Citations per year
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References
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Wireless communications
Choice Reviews Online · 2006 · 8,302 citations
Beyond Massive MIMO: The Potential of Data Transmission With Large Intelligent Surfaces
IEEE Transactions on Signal Processing · 2018 · 942 citations
A New Wireless Communication Paradigm through Software-Controlled Metasurfaces
IEEE Communications Magazine · 2018 · 1,292 citations
Large Intelligent Surface-Assisted Wireless Communication Exploiting Statistical CSI
IEEE Transactions on Vehicular Technology · 2019 · 927 citations
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