45 citations · 166 across the 16 of their papers we have counts for
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eess.SP2018★ 42 cited
Novel Massive MIMO Channel Sounding Data Applied to Deep Learning-based Indoor Positioning
Maximilian Arnold, Jakob Hoydis, Stephan ten Brink
With a significant increase in area throughput, Massive MIMO has become an enabling technology for fifth generation (5G) wireless mobile communication systems. Although prototypes…
eess.SP2018★ 3 cited
On Deep Learning-based Massive MIMO Indoor User Localization
Maximilian Arnold, Sebastian Dörner, Sebastian Cammerer +1
We examine the usability of deep neural networks for multiple-input multiple-output (MIMO) user positioning solely based on the orthogonal frequency division multiplex (OFDM) compl…