Recent Machine Learning Papers

A Foundation Model for Massive MIMO Precoding with an Adaptive per-User Rate-Power Tradeoff

Jérôme Emery, Ali Hasanzadeh Karkan, Jean-François Frigon, François Leduc-Primeau

Deep learning (DL) has emerged as a solution for precoding in massive multiple-input multiple-output (mMIMO) systems due to its capacity to learn the characteristics of the propagation environment. However, training such a model requires high-quality, local datasets at the deployment site, which are...