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Prasenjit Dhara

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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 · 0 citations

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