A vector-quantized variational autoencoder predicts massive MIMO channel coefficients from two antennas and outperforms standard and variational autoencoders at low SNR, with up to 15 dB NMSE gain.
Kingma and Max Welling, ``An introduction to variational autoencoders,'' Foundations and Trends in Machine Learning , vol
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Generative vs. Predictive Models in Massive MIMO Channel Prediction
A vector-quantized variational autoencoder predicts massive MIMO channel coefficients from two antennas and outperforms standard and variational autoencoders at low SNR, with up to 15 dB NMSE gain.