Initial Results on Deep Learning-Based Pilot Contamination Mitigation in Massive MIMO Systems [post]

Felipe Augusto Pereira de Figueiredo
2019 unpublished
In this brief letter we report our initial results on the application of deep-learning to the massive MIMO channel estimation challenge. We show that it is possible to estimate wireless channels and that the possibility of mitigating pilot-contamination with deep-learning is possible given that the leaning model underwent an extensive training-phase and that it has been presented with a large number of different channel conditions.
doi:10.20944/preprints201908.0165.v1 fatcat:nocdnkxn4fe63c7upax6ext5ju