7 citations · 42 across the 21 of their papers we have counts for
10 papers · 1 filter
Deep Learning based Channel Extrapolation for Large-Scale Antenna Systems: Opportunities, Challenges and Solutions
Shun Zhang, Yushan Liu, Feifei Gao +3
With the depletion of spectrum, wireless communication systems turn to exploit large antenna arrays to achieve the degree of freedom in space domain, such as millimeter wave massiv…
Ordinary Differential Equation-based CNN for Channel Extrapolation over RIS-assisted Communication
Meng Xu, Shun Zhang, Caijun Zhong +2
The reconfigurable intelligent surface (RIS) is considered as a promising new technology for reconfiguring wireless communication environments. To acquire the channel information a…
Graph Neural Network based Channel Tracking for Massive MIMO Networks
Yindi Yang, Shun Zhang, Feifei Gao +2
In this paper, we resort to the graph neural network (GNN) and propose the new channel tracking method for the massive multiple-input multiple-output networks under the high mobili…
Multi-Antenna Covert Communications with Random Access Protocol
Weile Zhang, Nan Zhao, Shun Zhang +1
In this paper, we consider the issue of covert communications with random access protocol. We consider that the legitimate user Bob has no priori knowledge about packet arrival tim…
Time-Varying Downlink Channel Tracking for Quantized Massive MIMO Networks
Jianpeng Ma, Shun Zhang, Hongyan Li +2
This paper proposes a Bayesian downlink channel estimation algorithm for time-varying massive MIMO networks. In particular, the quantization effects at the receiver are considered.…
Time-Varying Massive MIMO Channel Estimation: Capturing, Reconstruction and Restoration
Muye Li, Shun Zhang, Nan Zhao +2
On the time-varying channel estimation, the traditional downlink (DL) channel restoration schemes usually require the reconstruction for the covariance of downlink process noise ve…
Base Station Selection for Massive MIMO Networks with Two-stage Precoding
Jianpeng Ma, Shun Zhang, Hongyan Li +2
The two-stage precoding has been proposed to reduce the overhead of both the channel training and the channel state information (CSI) feedback for the massive multiple-input multip…
Interference-Alignment and Soft-Space-Reuse Based Cooperative Transmission for Multi-cell Massive MIMO Networks
Jianpeng Ma, Shun Zhang, Hongyan Li +2
As a revolutionary wireless transmission strategy, interference alignment (IA) can improve the capacity of the cell-edge users. However, the acquisition of the global channel state…
Spatial-Temporal BEM and Channel Estimation Strategy for Massive MIMO Time-Varying Systems
Hongxiang Xie, Feifei Gao, Shun Zhang +1
This paper proposes a new channel estimation scheme for the multiuser massive multiple-input multiple-output (MIMO) systems in time-varying environment. We introduce a discrete Fou…
A Simple DFT-aided Spatial Basis Expansion Model and Channel Estimation Strategy for TDD/FDD Massive MIMO Systems
Hongxiang Xie, Feifei Gao, Shun Zhang +1
This paper proposes a new transmission strategy for the multiuser massive multiple-input multiple-output (MIMO) systems, including uplink/downlink channel estimation and user sched…