Applying replay and regularization-based continual learning to channel prediction reduces cross-configuration NMSE by up to roughly 2 dB in simulated 5G urban micro scenarios.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
eess.SP 1years
2025 1verdicts
REJECT 1representative citing papers
citing papers explorer
-
Continual Learning for Wireless Channel Prediction
Applying replay and regularization-based continual learning to channel prediction reduces cross-configuration NMSE by up to roughly 2 dB in simulated 5G urban micro scenarios.