452 citations · 477 across the 9 of their papers we have counts for
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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★ 8 cited
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…
eess.SP2018
Wideband mmWave Channel Estimation for Hybrid Massive MIMO with Low-Precision ADCs
Yucheng Wang, Wei Xu, Hua Zhang +1
In this article, we investigate channel estimation for wideband millimeter-wave (mmWave) massive multiple-input multiple-output (MIMO) under hybrid architecture with lowprecision a…