Physically Consistent Modeling of Dispersive Time-Modulated Reconfigurable Intelligent Surfaces for Wideband OFDM

arXiv:2609.18360 · eess.SP, cs.SY, eess.SY · Submitted 2026-09-16 · Read on arXiv

eess.SP, cs.SY, eess.SY

Submitted: 2026-09-16

Updated: 2026-09-16

Code: https://github.com/awslabs/palace

Terminology

• Abstraction — 3× in this paper · explained in 1 episode
• Accuracy — 3× in this paper · explained in 1 episode
• Core — 1× in this paper · explained in 2 episodes
• Frequency Dependence — 1× in this paper · explained in 2 episodes
• Generalization — 1× in this paper · explained in 13 episodes
• Technical Report — 1× in this paper

Sources

• Reconfigurable Intelligent Surface-Enhanced OFDM Communications via Delay Adjustable Metasurface

Related papers

• Runtime Assurance Under Measurement Attack: Necessary and Sufficient Observability Conditions for Learned Control in Radio Access Networks
• Physics-Constrained Deep Learning Model for Contactless Blood Pressure Monitoring from Triaxial Bodyseismography
• Uncertainty Quantification in Machine Learning for Biosignal Applications -- A Review
• Continuous Orthogonal Mode Decomposition: Haptic Signal Prediction in Tactile Internet
• Generative Models for Modeling and Synthesizing MIMO Channels in Adverse Weather Conditions
• Deep-Learning-Based Pixelated Microwave Filter Design and Characterization using Electro-Optical Electric-Field Measurements