What is he best known for?
The fields of study he is best known for:
- Computer network
- Telecommunications
- The Internet
The scientist’s investigation covers issues in Computer network, Linear network coding, Communication channel, Wireless and Wireless network.
The concepts of his Computer network study are interwoven with issues in Signal-to-noise ratio, Distributed computing and Heterogeneous network.
He interconnects Theoretical computer science, Fading, Decoding methods, Block code and Error detection and correction in the investigation of issues within Linear network coding.
His studies examine the connections between Communication channel and genetics, as well as such issues in Communications system, with regards to Bandwidth, Extremely high frequency, Mobile computing, Gigabit and MIMO.
The study incorporates disciplines such as Cellular network, Transmission, Electronic engineering, Telecommunications link and Topology in addition to Wireless.
His work in Wireless network covers topics such as Beamforming which are related to areas like Computer architecture, Electrical engineering, Radio frequency and Path loss.
His most cited work include:
- Millimeter Wave Communications for Future Mobile Networks (441 citations)
- 6G Wireless Networks: Vision, Requirements, Architecture, and Key Technologies (259 citations)
- 6G Wireless Communications: Vision and Potential Techniques (190 citations)
What are the main themes of his work throughout his whole career to date?
His primary scientific interests are in Computer network, Communication channel, Wireless, Algorithm and Linear network coding.
His work deals with themes such as Relay, Transmission, Distributed computing and Wireless network, which intersect with Computer network.
Ming Xiao combines subjects such as Extremely high frequency and Physical layer with his study of Communication channel.
Ming Xiao has included themes like Wireless sensor network, Efficient energy use, Base station and Communications system in his Wireless study.
His Communications system study integrates concerns from other disciplines, such as Electronic engineering and Telecommunications link.
His work carried out in the field of Algorithm brings together such families of science as Theoretical computer science and Bit error rate.
He most often published in these fields:
- Computer network (33.44%)
- Communication channel (26.32%)
- Wireless (24.15%)
What were the highlights of his more recent work (between 2018-2021)?
- Wireless (24.15%)
- Mathematical optimization (8.67%)
- Computer network (33.44%)
In recent papers he was focusing on the following fields of study:
His main research concerns Wireless, Mathematical optimization, Computer network, Communication channel and Communications system.
His Wireless research incorporates elements of Wireless sensor network, Transmission, Spectral efficiency, Efficient energy use and Telecommunications link.
His study in the field of Optimization problem also crosses realms of Resource management and TRACE.
His Computer network study frequently links to related topics such as Relay.
His Communication channel study incorporates themes from Extremely high frequency, Upper and lower bounds, Decoding methods and Electronic engineering.
His Extremely high frequency course of study focuses on Code and MIMO.
Between 2018 and 2021, his most popular works were:
- 6G Wireless Networks: Vision, Requirements, Architecture, and Key Technologies (259 citations)
- 6G Wireless Communications: Vision and Potential Techniques (190 citations)
- Spectrum Sharing for Internet of Things: A Survey (80 citations)
In his most recent research, the most cited papers focused on:
- Computer network
- Telecommunications
- The Internet
His scientific interests lie mostly in Wireless, Communications system, Wireless sensor network, MIMO and Beamforming.
His Wireless research incorporates themes from Energy consumption, Transmission, Preference and Sketch.
Ming Xiao works mostly in the field of Communications system, limiting it down to topics relating to Physical layer and, in certain cases, Computer network.
His research integrates issues of Relay, Transmitter power output and Selection in his study of Computer network.
His Wireless sensor network research includes elements of Systems design, Machine learning and Artificial intelligence.
His work focuses on many connections between Beamforming and other disciplines, such as Network architecture, that overlap with his field of interest in Maximization, Multiplexing and Wireless network.
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