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20172021
most citedDeep Learning Optimized Sparse Antenna Activation for Reconfigurable Intelligent Surface Assisted Communication

12 citations · 23 across the 11 of their papers we have counts for

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Showing 2020Show all

5 papers · 1 filter

cs.IT2020★ 2 cited

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…

eess.SP2020★ 1 cited

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,…

eess.SP2020★ 12 cited

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…

cs.IT2020★ 2 cited

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…

eess.SP2020★ 3 cited

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…