Wireless communication;Training;Dimensionality reduction;Deep learning;Conferences;Neural networks;Signal processing;channel charting;triplet network;dimensionality reduction;MIMO signal processing;machine learning

Leveraging triplet loss and nonlinear dimensionality reduction for on-the-fly channel charting
Channel charting is an unsupervised learning method that aims at mapping wireless channels to a so-called chart, preserving as much as …
Taha Yassine, Luc Le Magoarou, Stéphane Paquelet, Matthieu Crussière
Cite DOI arXiv