Reconfigurable Intelligent Surfaces: Three Myths and Two Critical Questions
arXiv:2006.03377 · doi:10.1109/MCOM.001.2000407
Abstract
The search for physical-layer technologies that can play a key role in beyond-5G systems has started. One option is reconfigurable intelligent surfaces (RIS), which can collect wireless signals from a transmitter and passively beamform them towards the receiver. The technology has exciting prospects and is quickly gaining traction in the communication community, but in the current hype we have witnessed how several myths and overstatements are spreading in the literature. In this article, we take a neutral look at the RIS technology. We first review the fundamentals and then explain specific features that can be easily misinterpreted. In particular, we debunk three myths: 1) Current network technology can only control the transmitter and receiver, not the environment in between; 2) A better asymptotic array gain is achieved than with conventional beamforming; 3) The pathloss is the same as with anomalous mirrors. To inspire further research, we conclude by identifying two critical questions that must be answered for RIS to become a successful technology: 1) What is a convincing use case for RIS?; 2) How can we estimate channels and control an RIS in real time?
arXiv commentTo appear in IEEE Communications Magazine, 7 pages, 6 figures
References in corpus (3)
Cited by in corpus (33)
- RIS-Aided Wireless Communications: Prototyping, Adaptive Beamforming, and Indoor/Outdoor Field Trials
- Reconfigurable Intelligent Surfaces: A Signal Processing Perspective With Wireless Applications
- Power Scaling Laws and Near-Field Behaviors of Massive MIMO and Intelligent Reflecting Surfaces
- Path Loss in Reconfigurable Intelligent Surface-Enabled Channels
- Holographic MIMO Communications: Theoretical Foundations, Enabling Technologies, and Future Directions
- AI based Service Management for 6G Green Communications
- Cascaded Channel Estimation for Intelligent Reflecting Surface Assisted Multiuser MISO Systems
- Radar Target Detection aided by Reconfigurable Intelligent Surfaces
- Intelligent Reflecting Surface Aided Wireless Communications: A Tutorial
- Aerial Intelligent Reflecting Surface Enabled Terahertz Covert Communications in Beyond-5G Internet of Things
- Scoring the Terabit/s Goal:Broadband Connectivity in 6G
- 6G: The Intelligent Network of Everything
- Joint Active and Passive Beamforming for IRS-Assisted Radar
- Planning of EM Skins for Improved Quality-of-Service in Urban Areas
- Distributed Reconfigurable Intelligent Surfaces for Energy Efficient Indoor Terahertz Wireless Communications
- Blockage-Aware Robust Beamforming in RIS-Aided Mobile Millimeter Wave MIMO Systems
- A General Framework for RIS-Aided mmWave Communication Networks: Channel Estimation and Mobile User Tracking
- Joint Uplink-Downlink Resource Allocation for Multi-User IRS-Assisted Systems
- A Novel Physics-based Channel Model for Reconfigurable Intelligent Surface-assisted Multi-user Communication Systems
- Rate Optimization for RIS-Aided mMTC Networks in the Finite Blocklength Regime
- Integration of IRS in Indoor VLC Systems: Challenges, Potential and Promising Solutions
- Optimizing Reconfigurable Intelligent Surfaces for Short Transmissions: How Detailed Configurations can be Afforded?
- Near-Far Field Codebook Design for IOS-Aided Multi-User Communications
- Toward Autonomous Reconfigurable Intelligent Surfaces Through Wireless Energy Harvesting
- Channel Orthogonalization with Reconfigurable Surfaces: General Models, Theoretical Limits, and Effective Configuration
- MmWave MIMO Communication with Semi-Passive RIS: A Low-Complexity Channel Estimation Scheme
- Autonomous RISs and Oblivious Base Stations: The Observer Effect and its Mitigation
- Robust Design of Reconfigurable Intelligent Surfaces for Parameter Estimation in MTC
- Intelligent Reflecting Surface Aided Wireless Energy and Information Transmission: An Overview
- Multiple Intelligent Reflecting Surface aided Multi-user Weighted Sum-Rate Maximization using Manifold Optimization
- Frequency-Mixing Intelligent Reflecting Surfaces for Nonlinear Wireless Propagation
- Unlocking Metasurface Practicality for B5G Networks: AI-assisted RIS Planning
- A Novel Transmission Policy for Intelligent Reflecting Surface Assisted Wireless Powered Sensor Networks