Reconfigurable Intelligent Surface: Design the Channel -- a New Opportunity for Future Wireless Networks

Abstract

In this paper, we survey state-of-the-art research outcomes in the burgeoning field of reconfigurable intelligent surface (RIS) in view of its potential for significant performance enhancement for next generation wireless communication networks by means of adapting the propagation environment. Emphasis has been placed on several aspects gating the commercially viability of a future network deployment. Comprehensive summaries are provided for practical hardware design considerations and broad implications of artificial intelligence techniques, so are in-depth outlooks on salient aspects of system models, use cases, and physical layer optimization techniques.

arXiv comment22 pages, 18 figures

References in corpus (12)

• Wireless Communications with Reconfigurable Intelligent Surface: Path Loss Modeling and Experimental Measurement
• Reconfigurable Reflectarrays and Array Lenses for Dynamic Antenna Beam Control: A Review
• Power Scaling Laws and Near-Field Behaviors of Massive MIMO and Intelligent Reflecting Surfaces
• Beyond Massive-MIMO: The Potential of Positioning with Large Intelligent Surfaces
• Switchable metamaterial reflector/absorber for different polarized electromagnetic waves
• Channel Estimation for Reconfigurable Intelligent Surface Aided Multi-User mmWave MIMO Systems
• Extreme URLLC: Vision, Challenges, and Key Enablers
• 6G White Paper on Machine Learning in Wireless Communication Networks
• Robust Beamforming Design for Intelligent Reflecting Surface Aided Cognitive Radio Systems with Imperfect Cascaded CSI
• A Digital Twin for Reconfigurable Intelligent Surface Assisted Wireless Communication
• A New Codebook Design for Analog Beamforming in Millimeter-wave Communication
• Distributed Heteromodal Split Learning for Vision Aided mmWave Received Power Prediction