12 citations · 23 across the 11 of their papers we have counts for
6 papers · 1 filter
Deep Learning Based Antenna-time Domain Channel Extrapolation for Hybrid mmWave Massive MIMO
Shunbo Zhang, Shun Zhang, Jianpeng Ma +2
In a time-varying massive multiple-input multipleoutput (MIMO) system, the acquisition of the downlink channel state information at the base station (BS) is a very challenging task…
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…
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.…
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…