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.
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