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20152023
most citedA New Path Division Multiple Access for the Massive MIMO-OTFS Networks

7 citations · 42 across the 21 of their papers we have counts for

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11 papers · 1 filter

eess.SP2023

Two-Bit RIS-Aided Communications at 3.5GHz: Some Insights from the Measurement Results Under Multiple Practical Scenes

Shun Zhang, Haoran Sun, Runze Yu +6

In this paper, we propose a two-bit reconfigurable intelligent surface (RIS)-aided communication system, which mainly consists of a two-bit RIS, a transmitter and a receiver. A cor…

eess.SP2022

Joint Channel Estimation and Data Detection for Hybrid RIS aided Millimeter Wave OTFS Systems

Muye Li, Shun Zhang, Yao Ge +2

For high mobility communication scenario, the recently emerged orthogonal time frequency space (OTFS) modulation introduces a new delay-Doppler domain signal space, and can provide…

eess.SP2021★ 1 cited

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…

eess.SP2021★ 1 cited

Cascaded Channel Estimation for RIS Assisted mmWave MIMO Transmissions

Yushan Liu, Shun Zhang, Feifei Gao +2

Channel estimation is challenging for the reconfigurable intelligence surface (RIS) assisted millimeter wave (mmWave) communications. Since the number of coefficients of the cascad…

eess.SP2021★ 4 cited

AIRIS: Artificial Intelligence Enhanced Signal Processing in Reconfigurable Intelligent Surface Communications

Shun Zhang, Muye Li, Mengnan Jian +2

Reconfigurable intelligent surface (RIS) is an emerging meta-surface that can provide additional communications links through reflecting the signals, and has been recognized as a s…

eess.SP2021★ 6 cited

Deep Learning based Antenna Selection and CSI Extrapolation in Massive MIMO Systems

Bo Lin, Feifei Gao, Shun Zhang +2

A critical bottleneck of massive multiple-input multiple-output (MIMO) system is the huge training overhead caused by downlink transmission, like channel estimation, downlink beamf…

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★ 7 cited

A New Path Division Multiple Access for the Massive MIMO-OTFS Networks

Muye Li, Shun Zhang, Feifei Gao +2

This paper focuses on a new path division multiple access (PDMA) for both uplink (UL) and downlink (DL) massive multiple-input multiple-output network over a high mobility scenario…

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…

eess.SP2019

High-Mobility Massive MIMO Communications:Doppler Compensation and Transmit Diversity

Weile Zhang, Zhinan Hu, Shun Zhang +1

High-mobility wireless communications have been receiving a lot attentions. In this paper, we consider the highmobility uplink transmission from a high-speed terminal (HST) to a ba…

eess.SP2018★ 2 cited

Beamforming Network Optimization for Reducing Channel Time Variation in High-Mobility Massive MIMO

Yinghao Ge, Weile Zhang, Feifei Gao +2

Communications in high-mobility environments have caught a lot of attentions recently. In this paper, fast time-varying channels for massive multiple-input multiple-output (MIMO) s…