6 citations · 7 across the 3 of their papers we have counts for
3 papers
eess.SP2021
Joint Channel Estimation and Mixed-ADCs Allocation for Massive MIMO via Deep Learning
Liangyuan Xu, Feifei Gao, Ting Zhou +2
Millimeter wave (mmWave) multi-user massive multi-input multi-output (MIMO) is a promising technique for the next generation communication systems. However, the hardware cost and p…
eess.SP2021★ 6 cited
Deep Learning based Antenna Selection and CSI Extrapolation in Massive MIMO Systems
Bo Lin, Feifei Gao, Shun Zhang +2
A critical bottleneck of massive multiple-input multiple-output (MIMO) system is the huge training overhead caused by downlink transmission, like channel estimation, downlink beamf…
eess.SP2020★ 1 cited
FusionNet: Enhanced Beam Prediction for mmWave Communications Using Sub-6GHz Channel and A Few Pilots
Chenghong Bian, Yuwen Yang, Feifei Gao +1
In this paper, we propose a new downlink beamforming strategy for mmWave communications using uplink sub-6GHz channel information and a very few mmWave pilots. Specifically, we des…