Benchmarking Curvature-Domain Signaling for Continuous-Aperture Wireless Communications: Capacity, Robustness, Detection, and Conditioning Against Legacy Modal Bases

arXiv:2609.28353 · eess.SP, cs.SY, eess.SY · Submitted 2026-09-23 · Read on arXiv

eess.SP, cs.SY, eess.SY

Submitted: 2026-09-23

Updated: 2026-09-23

Terminology

• Aperture — 55× in this paper · explained in 1 episode
• Benchmark — 33× in this paper · explained in 2 episodes
• Quantization — 25× in this paper · explained in 12 episodes
• Regularization — 12× in this paper · explained in 3 episodes
• Robustness — 11× in this paper · explained in 5 episodes
• Benchmarking — 4× in this paper · explained in 4 episodes
• Steering — 4× in this paper · explained in 2 episodes
• Consistency — 3× in this paper · explained in 3 episodes
• Abstraction — 2× in this paper · explained in 1 episode
• Calibration — 1× in this paper · explained in 7 episodes
• Clustering — 1× in this paper · explained in 2 episodes

Sources

• CAPA: Continuous-Aperture Arrays for Revolutionizing 6G Wireless Communications
• RIS-aided Near-Field MIMO Communications: Codebook and Beam Training Design
• Electromagnetic Information Theory: Fundamentals and Applications for 6G Wireless Communication Systems

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