887 citations · 943 across the 12 of their papers we have counts for
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cs.IT2019
On Recurrent Neural Networks for Sequence-based Processing in Communications
Daniel Tandler, Sebastian Dörner, Sebastian Cammerer +1
In this work, we analyze the capabilities and practical limitations of neural networks (NNs) for sequence-based signal processing which can be seen as an omnipresent property in al…
cs.IT2019★ 45 cited
Enabling FDD Massive MIMO through Deep Learning-based Channel Prediction
Maximilian Arnold, Sebastian Dörner, Sebastian Cammerer +3
A major obstacle for widespread deployment of frequency division duplex (FDD)-based Massive multiple-input multiple-output (MIMO) communications is the large signaling overhead for…