Uncertainty-Aware and Reliable Neural MIMO Receivers via Modular Bayesian Deep Learning

Tomer Raviv, Sangwoo Park, Osvaldo Simeone +1

Deep learning is envisioned to play a key role in the design of future wireless receivers. A popular approach to design learning-aided receivers combines deep neural networks (DNNs…