70 citations · 78 across the 5 of their papers we have counts for
5 papers
Federated Dynamic Neural Network for Deep MIMO Detection
Yuwen Yang, Feifei Gao, Jiang Xue +2
In this paper, we develop a dynamic detection network (DDNet) based detector for multiple-input multiple-output (MIMO) systems. By constructing an improved DetNet (IDetNet) detecto…
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…
Deep Unsupervised Learning for Joint Antenna Selection and Hybrid Beamforming
Zhiyan Liu, Yuwen Yang, Feifei Gao +2
In this paper, we propose a novel deep unsupervised learning-based approach that jointly optimizes antenna selection and hybrid beamforming to improve the hardware and spectral eff…
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…
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…