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

From 1G to 5G, wireless channels have been traditionally considered to be uncontrollable. Thanks to the recent advances in meta-materials, reconfigurable intelligent surfaces (RISs) have emerged as a new paradigm for controlling wireless channels intelligently, thus making it a revolutionary technique for future 6G wireless communications. However, due to the “double fading” effect, RIS only achieves a negligible capacity gain in typical communication scenarios, which however has been widely ignored in many existing works. In this paper, the concept of active RIS is proposed to break this fundamental physical limit. Different from the existing passive RIS that reflects signals passively without amplification, active RIS can actively amplify the reflected signals. We then develop a signal model for active RIS, which is validated through experimental measurements. Based on this new signal model, we analyze the capacity gain achievable by active RIS and formulate the capacity maximization problem in an active RIS aided system. Next, a joint transmit and reflect precoding algorithm is proposed to solve this problem. Finally, extensive results show that, compared with the baseline without RIS, the existing passive RIS can realize a negligible capacity gain of only 3% in typical application scenarios, while the proposed active RIS can achieve a noticeable capacity gain of 129%, thus overcoming the fundamental limit of “double fading” effect.

[1]  M. Juntti,et al.  Hybrid Relay-Reflecting Intelligent Surface-Assisted Wireless Communications , 2021, IEEE Transactions on Vehicular Technology.

[2]  Markku Juntti,et al.  Channel Estimation and Hybrid Architectures for RIS-Assisted Communications , 2021, 2021 Joint European Conference on Networks and Communications & 6G Summit (EuCNC/6G Summit).

[3]  R. Schober,et al.  Simultaneously Transmitting And Reflecting (STAR) RIS Aided Wireless Communications , 2021, IEEE Transactions on Wireless Communications.

[4]  H. Poor,et al.  STAR: Simultaneous Transmission and Reflection for 360° Coverage by Intelligent Surfaces , 2021, IEEE Wireless Communications.

[5]  Zhu Han,et al.  Reconfigurable Intelligent Surfaces in 6G: Reflective, Transmissive, or Both? , 2021, IEEE Communications Letters.

[6]  Markku Juntti,et al.  Passive RIS vs. Hybrid RIS: A Comparative Study on Channel Estimation , 2020, 2021 IEEE 93rd Vehicular Technology Conference (VTC2021-Spring).

[7]  Mohamed-Slim Alouini,et al.  Beamforming Through Reconfigurable Intelligent Surfaces in Single-User MIMO Systems: SNR Distribution and Scaling Laws in the Presence of Channel Fading and Phase Noise , 2020, IEEE Wireless Communications Letters.

[8]  H. Vincent Poor,et al.  Physics-Based Modeling and Scalable Optimization of Large Intelligent Reflecting Surfaces , 2020, IEEE Transactions on Communications.

[9]  Linglong Dai,et al.  A Joint Precoding Framework for Wideband Reconfigurable Intelligent Surface-Aided Cell-Free Network , 2020, IEEE Transactions on Signal Processing.

[10]  Linglong Dai,et al.  Two-Timescale Channel Estimation for Reconfigurable Intelligent Surface Aided Wireless Communications , 2019, IEEE Transactions on Communications.

[11]  Kaushik Sengupta,et al.  A high-speed programmable and scalable terahertz holographic metasurface based on tiled CMOS chips , 2020, Nature Electronics.

[12]  K. Ha,et al.  All-solid-state spatial light modulator with independent phase and amplitude control for three-dimensional LiDAR applications , 2020, Nature Nanotechnology.

[13]  Mohamed-Slim Alouini,et al.  Smart Radio Environments Empowered by Reconfigurable Intelligent Surfaces: How it Works, State of Research, and Road Ahead , 2020, ArXiv.

[14]  Chintha Tellambura,et al.  Is Backscatter Link Stronger than Direct Link in Reconfigurable Intelligent Surface-Assisted System? , 2020, IEEE Communications Letters.

[15]  Yuanwei Liu,et al.  MIMO-NOMA Networks Relying on Reconfigurable Intelligent Surface: A Signal Cancellation-Based Design , 2020, IEEE Transactions on Communications.

[16]  H. Ren A light-programmable metasurface , 2020 .

[17]  C. Yuen,et al.  Reconfigurable Intelligent Surface Assisted Multiuser MISO Systems Exploiting Deep Reinforcement Learning , 2020, IEEE Journal on Selected Areas in Communications.

[18]  Lianlin Li,et al.  Metasurface-assisted massive backscatter wireless communication with commodity Wi-Fi signals , 2020, Nature Communications.

[19]  Erik G. Larsson,et al.  Weighted Sum-Rate Maximization for Reconfigurable Intelligent Surface Aided Wireless Networks , 2019, IEEE Transactions on Wireless Communications.

[20]  Chan-Byoung Chae,et al.  Reconfigurable Intelligent Surface-Based Wireless Communications: Antenna Design, Prototyping, and Experimental Results , 2019, IEEE Access.

[21]  Xiaojun Yuan,et al.  Intelligent Reflecting Surface-Assisted Millimeter Wave Communications: Joint Active and Passive Precoding Design , 2019, IEEE Transactions on Vehicular Technology.

[22]  Lajos Hanzo,et al.  Multicell MIMO Communications Relying on Intelligent Reflecting Surfaces , 2019, IEEE Transactions on Wireless Communications.

[23]  M. Di Renzo,et al.  Multi-Antenna Relaying and Reconfigurable Intelligent Surfaces: End-to-End SNR and Achievable Rate , 2019, ArXiv.

[24]  A. Grbic,et al.  Ultrathin active polarization-selective metasurface at X-band frequencies , 2019, Physical Review B.

[25]  Mohamed-Slim Alouini,et al.  Wireless Communications Through Reconfigurable Intelligent Surfaces , 2019, IEEE Access.

[26]  Ertugrul Basar,et al.  Transmission Through Large Intelligent Surfaces: A New Frontier in Wireless Communications , 2019, 2019 European Conference on Networks and Communications (EuCNC).

[27]  Qiang Cheng,et al.  Space-time-coding digital metasurfaces , 2018, Nature Communications.

[28]  Chau Yuen,et al.  Reconfigurable Intelligent Surfaces for Energy Efficiency in Wireless Communication , 2018, IEEE Transactions on Wireless Communications.

[29]  Qingqing Wu,et al.  Intelligent Reflecting Surface Enhanced Wireless Network via Joint Active and Passive Beamforming , 2018, IEEE Transactions on Wireless Communications.

[30]  Seyedeh Mahsa Kamali,et al.  Compact folded metasurface spectrometer , 2018, Nature Communications.

[31]  Wei Yu,et al.  Fractional Programming for Communication Systems—Part I: Power Control and Beamforming , 2018, IEEE Transactions on Signal Processing.

[32]  Derek Abbott,et al.  Terahertz Reflectarrays and Nonuniform Metasurfaces , 2017, IEEE Journal of Selected Topics in Quantum Electronics.

[33]  Fan Yang,et al.  A 1600-Element Dual-Frequency Electronically Reconfigurable Reflectarray at X/Ku-Band , 2017, IEEE Transactions on Antennas and Propagation.

[34]  Vladimir M. Shalaev,et al.  Metasurface holograms for visible light , 2013, Nature Communications.

[35]  Sebastian Magierowski,et al.  A 4-GHz Active Scatterer in 130-nm CMOS for Phase Sweep Amplify-and-Forward , 2012, IEEE Transactions on Circuits and Systems I: Regular Papers.

[36]  K. K. Kishor,et al.  An Amplifying Reconfigurable Reflectarray Antenna , 2012, IEEE Transactions on Antennas and Propagation.

[37]  Stephen P. Boyd,et al.  Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers , 2011, Found. Trends Mach. Learn..

[38]  Thomas L. Marzetta,et al.  Noncooperative Cellular Wireless with Unlimited Numbers of Base Station Antennas , 2010, IEEE Transactions on Wireless Communications.

[39]  Thomas L. Marzetta,et al.  Capacity of a Mobile Multiple-Antenna Communication Link in Rayleigh Flat Fading , 1999, IEEE Trans. Inf. Theory.