The field of reconfigurable intelligent surfaces (RIS) and 6G networks is rapidly advancing, with a focus on improving spectral efficiency, reducing hardware complexity, and enhancing overall network performance. Recent developments have explored the use of learning-based architecture discovery, spatial-to-spectral harmonic-modulated arrays, and novel observation matrix design schemes to optimize RIS performance. Additionally, researchers have investigated the application of RIS in various scenarios, including self-sustainable device-to-device communication, multibeam low Earth orbit satellite networks, and wireless body area networks. Noteworthy papers in this area include: Beyond-Diagonal RIS Under Non-Idealities, which proposes a learning-based two-tier architecture discovery framework to optimize non-ideal BD-RIS performance. Spatial-to-Spectral Harmonic-Modulated Arrays for 6G Multi-Beam MIMO, which introduces a novel SHA architecture that provides three spatial-to-spectral degrees of freedom with minimal hardware replication.
Advancements in Reconfigurable Intelligent Surfaces and 6G Networks
Sources
Beyond-Diagonal RIS Under Non-Idealities: Learning-Based Architecture Discovery and Optimization
Spatial-to-Spectral Harmonic-Modulated Arrays for 6G Multi-Beam MIMO
Enhancing Channel Estimation in RIS-aided Systems via Observation Matrix Design
Generalized Group Selection Strategies for Self-sustainable RIS-aided Communication
Enhanced Ground-Satellite Direct Access via Onboard Rydberg Atomic Quantum Receivers
Mode Switching-based STAR-RIS with Discrete Phase Shifters
Space-Time Rate-Splitting Multiple Access for Multibeam LEO Satellite Networks
An Adaptive Intelligent Thermal-Aware Routing Protocol for Wireless Body Area Networks
Bridging Earth and Space: A Survey on HAPS for Non-Terrestrial Networks
Ergodic Mutual Information and Outage Probability for SIM-Assisted Holographic MIMO Communications
Stacked Intelligent Metasurfaces for 6G Wireless Networks: Principles, Applications, and Research Directions