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cs.IT2024
CSI Compression using Channel Charting
Baptiste Chatelier, Vincent Corlay, Matthieu Crussière +1
Reaping the benefits of multi-antenna communication systems in frequency division duplex (FDD) requires channel state information (CSI) reporting from mobile users to the base stat…
cs.IT2024
Active learning for efficient data selection in radio-signal based positioning via deep learning
Vincent Corlay, Milan Courcoux-Caro
We consider the problem of user equipment (UE) positioning based on radio signals via deep learning. As in most supervised-learning tasks, a critical aspect is the availability of…
cs.IT2024
Model-based learning for multi-antenna multi-frequency location-to-channel mapping
Baptiste Chatelier, Vincent Corlay, Matthieu Crussière +1
Years of study of the propagation channel showed a close relation between a location and the associated communication channel response. The use of a neural network to learn the loc…