46 citations · 60 across the 7 of their papers we have counts for
Showing 2020 · eess.SPShow all
2 papers · 2 filters
eess.SP2020★ 2 cited
Framework on Deep Learning Based Joint Hybrid Processing for mmWave Massive MIMO Systems
Peihao Dong, Hua Zhang, Geoffrey Ye Li
For millimeter wave (mmWave) massive multiple-input multiple-output (MIMO) systems, hybrid processing architecture is essential to significantly reduce the complexity and cost but…
eess.SP2020
Acquisition of Channel State Information for mmWave Massive MIMO: Traditional and Machine Learning-based Approaches
Chenhao Qi, Peihao Dong, Wenyan Ma +3
The accuracy of channel state information (CSI) acquisition directly affects the performance of millimeter wave (mmWave) communications. In this article, we provide an overview on…