#machine learning
May 2026
Learning the Channel Gain from Anywhere to Anywhere via Cross-environment Transformer Estimators
A transformer-based estimator is proposed to implicitly learn spatial patterns that channel-gain maps exhibit across environments, as dictated by the laws of physics and typical environmental characteristics, which enables CGME in new environments from significantly fewer measurements.
Prasenjit Dhara, Daniel Romero
· arXiv.org · 0 citations