Reconfigurable Intelligent Surfaces
Also known as RIS
Overview
Reconfigurable intelligent surfaces use controllable electromagnetic elements to shape wireless propagation, helping extend coverage, focus signals, and support tasks such as localization and edge computing. Researchers optimize element phases, amplitudes, placement, and beamforming through mathematical methods such as alternating optimization, as well as deep and multi-agent reinforcement learning, graph neural networks, and learned channel estimation. Designs range from passive and active surfaces to simultaneous transmitting-and-reflecting and stacked metasurfaces, including systems that perform signal processing in the wave domain. A central challenge is making control scalable and reliable when channel-state information is costly or unavailable, while accounting for hardware constraints, mobility, energy use, and fair resource allocation.
Latest papers
30 papers2 papers in the last four weeks, down 33% on the four weeks before. 0.0% of all new papers.