H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Electronics and Electrical Engineering H-index 33 Citations 5,136 147 World Ranking 2797 National Ranking 1125

Research.com Recognitions

Awards & Achievements

2010 - IEEE Fellow For contributions to channel modeling and signal processing for wireless communications

The Canadian Academy of Engineering

Overview

What is he best known for?

The fields of study he is best known for:

  • Algorithm
  • Telecommunications
  • Statistics

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.

His most cited work include:

  • Simulation models with correct statistical properties for Rayleigh fading channels (557 citations)
  • Improved models for the generation of multiple uncorrelated Rayleigh fading waveforms (336 citations)
  • A Survey of Physical Layer Security Techniques for 5G Wireless Networks and Challenges Ahead (258 citations)

What are the main themes of his work throughout his whole career to date?

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.

He most often published in these fields:

  • MIMO (47.53%)
  • Communication channel (42.60%)
  • Algorithm (37.67%)

What were the highlights of his more recent work (between 2016-2020)?

  • MIMO (47.53%)
  • Communication channel (42.60%)
  • Precoding (27.35%)

In recent papers he was focusing on the following fields of study:

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.

Between 2016 and 2020, his most popular works were:

  • A Survey of Physical Layer Security Techniques for 5G Wireless Networks and Challenges Ahead (258 citations)
  • Secure Transmission With Large Numbers of Antennas and Finite Alphabet Inputs (61 citations)
  • A Survey on MIMO Transmission With Finite Input Signals: Technical Challenges, Advances, and Future Trends (34 citations)

In his most recent research, the most cited papers focused on:

  • Algorithm
  • Telecommunications
  • Statistics

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.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Top Publications

Simulation models with correct statistical properties for Rayleigh fading channels

Yahong Rosa Zheng;Chengshan Xiao.
IEEE Transactions on Communications (2003)

859 Citations

Improved models for the generation of multiple uncorrelated Rayleigh fading waveforms

Y.R. Zheng;Chengshan Xiao.
IEEE Communications Letters (2002)

470 Citations

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)

301 Citations

Beam Division Multiple Access Transmission for Massive MIMO Communications

Chen Sun;Xiqi Gao;Shi Jin;Michail Matthaiou.
IEEE Transactions on Communications (2015)

255 Citations

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)

252 Citations

Secure Massive MIMO Transmission With an Active Eavesdropper

Yongpeng Wu;Robert Schober;Derrick Wing Kwan Ng;Chengshan Xiao.
IEEE Transactions on Information Theory (2016)

230 Citations

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)

211 Citations

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)

180 Citations

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)

145 Citations

Linear Precoding for Finite-Alphabet Signaling Over MIMOME Wiretap Channels

Yongpeng Wu;Chengshan Xiao;Zhi Ding;Xiqi Gao.
IEEE Transactions on Vehicular Technology (2012)

128 Citations

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking h-index is inferred from publications deemed to belong to the considered discipline.

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