9 citations · 9 across the 2 of their papers we have counts for
7 papers
Semi-Blind Cascaded Channel Estimation for Reconfigurable Intelligent Surface Aided Massive MIMO
Zhen-Qing He, Hang Liu, Xiaojun Yuan +2
Reconfigurable intelligent surface (RIS) is envisioned to be a promising green technology to reduce the energy consumption and improve the coverage and spectral efficiency of massi…
Statistical Beamforming for FDD Downlink Massive MIMO via Spatial Information Extraction and Beam Selection
Hang Liu, Xiaojun Yuan, Ying Jun +1
In this paper, we study the beamforming design problem in frequency-division duplexing (FDD) downlink massive MIMO systems, where instantaneous channel state information (CSI) is a…
Reconfigurable-Intelligent-Surface Empowered Wireless Communications: Challenges and Opportunities
Xiaojun Yuan, Ying-Jun Angela Zhang, Yuanming Shi +2
Reconfigurable intelligent surfaces (RISs) are regarded as a promising emerging hardware technology to improve the spectrum and energy efficiency of wireless networks by artificial…
Matrix-Calibration-Based Cascaded Channel Estimation for Reconfigurable Intelligent Surface Assisted Multiuser MIMO
Hang Liu, Xiaojun Yuan, Ying-Jun Angela Zhang
Reconfigurable intelligent surface (RIS) is envisioned to be an essential component of the paradigm for beyond 5G networks as it can potentially provide similar or higher array gai…
Double-Sparsity Learning Based Channel-and-Signal Estimation in Massive MIMO with Generalized Spatial Modulation
Xiaoyan Kuai, Xiaojun Yuan, Wenjing Yan +3
In this paper, we study joint antenna activity detection, channel estimation, and multiuser detection for massive multiple-input multiple-output (MIMO) systems with general spatial…
Super-Resolution Blind Channel-and-Signal Estimation for Massive MIMO with One-Dimensional Antenna Array
Hang Liu, Xiaojun Yuan, Ying-Jun Angela Zhang
In this paper, we study blind channel-and-signal estimation by exploiting the burst-sparse structure of angular-domain propagation channels in massive MIMO systems. The state-of-th…