NMSE
The most commonly used accuracy metric in CSI prediction and channel estimation. It is defined as the squared norm of the difference between predicted and true values divided by the squared norm of the true value, usually expressed in dB, where a lower value indicates more accurate prediction.
Timeline (last 90 days)
RAG-CSI reduced normalized mean squared error (NMSE) by 15.42% in the experiments.
Normalized mean squared error (NMSE) is defined as the squared norm of the difference between the predicted value and the true value divided by the squared norm of the true value, usually expressed in dB.
All Facts (2)
RAG-CSI reduced normalized mean squared error (NMSE) by 15.42% in the experiments.
50%UnverifiedNormalized mean squared error (NMSE) is defined as the squared norm of the difference between the predicted value and the true value divided by the squared norm of the true value, usually expressed in dB.
50%