12 citations · 23 across the 11 of their papers we have counts for
11 papers
Deep Learning-based Time-varying Channel Estimation for RIS Assisted Communication
Meng Xu, Shun Zhang, Jianpeng Ma +1
Reconfigurable intelligent surface (RIS) is considered as a revolutionary technology for future wireless communication networks. In this letter, we consider the acquisition of the…
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…
Deep Learning Based RIS Channel Extrapolation with Element-grouping
Shunbo Zhang, Shun Zhang, Feifei Gao +2
Reconfigurable intelligent surface (RIS) is considered as a revolutionary technology for future wireless communication networks. In this letter, we consider the acquisition of the…
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…
Deep Learning Based Antenna Selection for Channel Extrapolation in FDD Massive MIMO
Yindi Yang, Shun Zhang, Feifei Gao +3
In massive multiple-input multiple-output (MIMO) systems, the large number of antennas would bring a great challenge for the acquisition of the accurate channel state information,…
Deep Learning Optimized Sparse Antenna Activation for Reconfigurable Intelligent Surface Assisted Communication
Shunbo Zhang, Shun Zhang, Feifei Gao +2
To capture the communications gain of the massive radiating elements with low power cost, the conventional reconfigurable intelligent surface (RIS) usually works in passive mode. H…
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…
Uplink-aided High Mobility Downlink Channel Estimation over Massive MIMO-OTFS System
Yushan Liu, Shun Zhang, Feifei Gao +2
Although it is often used in the orthogonal frequency division multiplexing (OFDM) systems, application of massive multiple-input multiple-output (MIMO) over the orthogonal time fr…
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…