2010 - IEEE Fellow For contributions to channel modeling and signal processing for wireless communications
The Canadian Academy of Engineering
Chengshan Xiao mainly focuses on MIMO, Precoding, Communication channel, Algorithm and Fading. His work deals with themes such as Multiplexing, Electronic engineering and Transmission, which intersect with MIMO. His work carried out in the field of Precoding brings together such families of science as Computational complexity theory, Channel capacity, Mathematical optimization and Control theory.
His work in Communication channel covers topics such as Transmitter which are related to areas like Telecommunications link, Transmit diversity and Phase. Algorithm is closely attributed to Bit error rate in his study. His Fading research integrates issues from Channel state information and Order.
Chengshan Xiao mostly deals with MIMO, Communication channel, Algorithm, Control theory and Precoding. His MIMO research is multidisciplinary, incorporating perspectives in Telecommunications link, Mathematical optimization, Bit error rate, Channel state information and Topology. The study incorporates disciplines such as Transmitter, Electronic engineering and Phase-shift keying in addition to Communication channel.
Chengshan Xiao interconnects Minimum mean square error, Transmission, Rician fading and Sensitivity in the investigation of issues within Algorithm. His Precoding research incorporates elements of Iterative method, Mutual information, Matrix and 3G MIMO. His work on Rayleigh fading and Fading distribution as part of general Fading research is frequently linked to Rayleigh scattering, bridging the gap between disciplines.
The scientist’s investigation covers issues in MIMO, Communication channel, Precoding, Algorithm and Channel state information. The concepts of his MIMO study are interwoven with issues in Wireless, Transmission, Base station, Telecommunications link and Topology. His biological study spans a wide range of topics, including Electronic engineering, Mathematical optimization and Signal.
He has included themes like Spatial multiplexing and Communications system in his Electronic engineering study. His studies in Precoding integrate themes in fields like Matrix decomposition, Matrix and Fading. His study in the field of Computational complexity theory and Decoding methods is also linked to topics like A priori and a posteriori.
His main research concerns MIMO, Channel state information, Precoding, Communication channel and Algorithm. His MIMO study incorporates themes from Wireless, Transmission, Base station and Control theory. The study incorporates disciplines such as Spatial multiplexing, Wireless network, Signal, Electronic engineering and Telecommunications link in addition to Transmission.
His Channel state information study deals with Upper and lower bounds intersecting with Iterative method. His studies deal with areas such as Hessian matrix, Matrix decomposition, Matrix, Rank and Radio frequency as well as Precoding. As part of the same scientific family, Chengshan Xiao usually focuses on Communication channel, concentrating on Mathematical optimization and intersecting with Algorithm design, Time complexity and Transmitter power output.
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Simulation models with correct statistical properties for Rayleigh fading channels
Yahong Rosa Zheng;Chengshan Xiao.
IEEE Transactions on Communications (2003)
A Survey of Physical Layer Security Techniques for 5G Wireless Networks and Challenges Ahead
Yongpeng Wu;Ashish Khisti;Chengshan Xiao;Giuseppe Caire.
IEEE Journal on Selected Areas in Communications (2018)
Improved models for the generation of multiple uncorrelated Rayleigh fading waveforms
Y.R. Zheng;Chengshan Xiao.
IEEE Communications Letters (2002)
Beam Division Multiple Access Transmission for Massive MIMO Communications
Chen Sun;Xiqi Gao;Shi Jin;Michail Matthaiou.
IEEE Transactions on Communications (2015)
Novel Sum-of-Sinusoids Simulation Models for Rayleigh and Rician Fading Channels
C. Xiao;Y.R. Zheng;N.C. Beaulieu.
IEEE Transactions on Wireless Communications (2006)
Secure Massive MIMO Transmission With an Active Eavesdropper
Yongpeng Wu;Robert Schober;Derrick Wing Kwan Ng;Chengshan Xiao.
IEEE Transactions on Information Theory (2016)
Globally Optimal Linear Precoders for Finite Alphabet Signals Over Complex Vector Gaussian Channels
Chengshan Xiao;Yahong Rosa Zheng;Zhi Ding.
IEEE Transactions on Signal Processing (2011)
A discrete-time model for triply selective MIMO Rayleigh fading channels
Chengshan Xiao;Jingxian Wu;S.-Y. Leong;Yahong Rosa Zheng.
IEEE Transactions on Wireless Communications (2004)
Linear Precoding for Finite-Alphabet Inputs Over MIMO Fading Channels With Statistical CSI
Weiliang Zeng;Chengshan Xiao;Mingxi Wang;Jianhua Lu.
IEEE Transactions on Signal Processing (2012)
Linear Precoding for Finite-Alphabet Signaling Over MIMOME Wiretap Channels
Yongpeng Wu;Chengshan Xiao;Zhi Ding;Xiqi Gao.
IEEE Transactions on Vehicular Technology (2012)
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