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Xiaojun Yuan
Researcher at University of Electronic Science and Technology of China
Publications - 277
Citations - 6087
Xiaojun Yuan is an academic researcher from University of Electronic Science and Technology of China. The author has contributed to research in topics: MIMO & Communication channel. The author has an hindex of 31, co-authored 275 publications receiving 3819 citations. Previous affiliations of Xiaojun Yuan include University of New South Wales & The Chinese University of Hong Kong.
Papers
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Journal ArticleDOI
Cascaded Channel Estimation for Large Intelligent Metasurface Assisted Massive MIMO
Zhen-Qing He,Xiaojun Yuan +1 more
TL;DR: A general framework for the estimation of the transmitter-LIM and LIM-receiver cascaded channel is introduced, and a two-stage algorithm that includes a sparse matrix factorization stage and a matrix completion stage is proposed that can achieve accurate channel estimation for LIM-assisted massive MIMO systems.
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Intelligent Reflecting Surface-Assisted Millimeter Wave Communications: Joint Active and Passive Precoding Design
TL;DR: Results show that intelligent reflecting surface (IRS) can help create effective virtual line-of-sight (LOS) paths and thus substantially improve robustness against blockages in mmWave communications.
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Reconfigurable Intelligent Surface Assisted UAV Communication: Joint Trajectory Design and Passive Beamforming
TL;DR: In this article, a joint UAV trajectory and RIS's passive beamforming design for a novel RIS-assisted UAV communication system is investigated to maximize the average achievable rate in an urban area.
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Matrix-Calibration-Based Cascaded Channel Estimation for Reconfigurable Intelligent Surface Assisted Multiuser MIMO
TL;DR: This paper forms the channel estimation problem in the RIS-assisted multiuser MIMO system as a matrix-calibration based matrix factorization task and proposes a novel message-passing based algorithm to factorize the cascaded channels.
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Reconfigurable-Intelligent-Surface Empowered Wireless Communications: Challenges and Opportunities
TL;DR: Three fundamental physical-layer challenges for the incorporation of RISs into wireless networks, namely, channel state information acquisition, passive information transfer, and low-complexity robust system design are focused on.