26 citations · 32 across the 5 of their papers we have counts for
7 papers · 1 filter
Deep Learning Based FDD Non-Stationary Massive MIMO Downlink Channel Reconstruction
Yu Han, Mengyuan Li, Shi Jin +2
This paper proposes a model-driven deep learning-based downlink channel reconstruction scheme for frequency division duplexing (FDD) massive multi-input multi-output (MIMO) systems…
Channel Estimation for Extremely Large-Scale Massive MIMO Systems
Yu Han, Shi Jin, Chao-Kai Wen +1
Extremely large-scale massive multiple-input multiple-output (MIMO) has shown considerable potential in future mobile communications. However, the use of extremely large aperture a…
FDD Massive MIMO Based on Efficient Downlink Channel Reconstruction
Yu Han, Qi Liu, Chao-Kai Wen +2
Massive multiple-input multiple-output (MIMO) systems deploying a large number of antennas at the base station considerably increase the spectrum efficiency by serving multiple use…
Large Intelligent Surface-Assisted Wireless Communication Exploiting Statistical CSI
Yu Han, Wankai Tang, Shi Jin +2
Large intelligent surface (LIS)-assisted wireless communications have drawn attention worldwide. With the use of low-cost LIS on building walls, signals can be reflected by the LIS…
Efficient Downlink Channel Reconstruction for FDD Multi-Antenna Systems
Yu Han, Tien-Hao Hsu, Chao-Kai Wen +2
In this paper, we propose an efficient downlink channel reconstruction scheme for a frequency-division-duplex multi-antenna system by utilizing uplink channel state information com…
DFT-Based Hybrid Beamforming Multiuser Systems: Rate Analysis and Beam Selection
Yu Han, Shi Jin, Jun Zhang +2
This paper considers the discrete Fourier transform (DFT) based hybrid beamforming multiuser system and studies the use of analog beam selection schemes. We first analyze the uplin…