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Active RIS vs. Passive RIS: Which Will Prevail in 6G?

IEEE Transactions on Communications · 2022 · Vol. 71(3) · pp. 1707–1725
Zijian ZhangLinglong DaiXibi ChenChanghao LiuFan YangRobert SchoberH. Vincent Poor

Abstract

As a revolutionary paradigm for controlling wireless channels, reconfigurable intelligent surfaces (RISs) have emerged as a candidate technology for future 6G networks. However, due to the “multiplicative fading” effect, the existing passive RISs only achieve limited capacity gains in many scenarios with strong direct links. In this paper, the concept of active RISs is proposed to overcome this fundamental limitation. Unlike passive RISs that reflect signals without amplification, active RISs can amplify the reflected signals via amplifiers integrated into their elements. To characterize the signal amplification and incorporate the noise introduced by the active components, we develop and verify the signal model of active RISs through the experimental measurements based on a fabricated active RIS element. Based on the verified signal model, we further analyze the asymptotic performance of active RISs to reveal the substantial capacity gain they provide for wireless communications. Finally, we formulate the sum-rate maximization problem for an active RIS aided multi-user multiple-input single-output (MU-MISO) system and a joint transmit beamforming and reflect precoding scheme is proposed to solve this problem. Simulation results show that, in a typical wireless system, passive RISs can realize only a limited sum-rate gain of 22%, while active RISs can achieve a significant sum-rate gain of 130%, thus overcoming the “multiplicative fading” effect.

Advanced Wireless Communication TechnologiesFull-Duplex Wireless CommunicationsAdvanced Antenna and Metasurface TechnologiesBeamformingElectronic engineeringFadingWirelessPrecodingMaximizationComputer scienceAmplifierChannel (broadcasting)Engineering

Funding

  • National Science Foundation
  • European Commission
  • Deutsche Forschungsgemeinschaft
  • National Natural Science Foundation of China
  • National Key Research and Development Program of China
Citations
962
FWCI
84.87
field-weighted impact
References
44
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100%
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References
Fractional Programming for Communication Systems—Part I: Power Control and Beamforming
IEEE Transactions on Signal Processing · 2018 · 1,777 citations
Intelligent Reflecting Surface Enhanced Wireless Network via Joint Active and Passive Beamforming
IEEE Transactions on Wireless Communications · 2019 · 4,496 citations
Weighted Sum-Rate Maximization for Reconfigurable Intelligent Surface Aided Wireless Networks
IEEE Transactions on Wireless Communications · 2020 · 984 citations
Multicell MIMO Communications Relying on Intelligent Reflecting Surfaces
IEEE Transactions on Wireless Communications · 2020 · 1,079 citations
Active Reconfigurable Intelligent Surface-Aided Wireless Communications
IEEE Transactions on Wireless Communications · 2021 · 643 citations
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