What is he best known for?
The fields of study he is best known for:
- Computer network
- Telecommunications
- Statistics
His primary areas of study are Computer network, MIMO, Wireless, Electronic engineering and Communication channel.
His Computer network research is multidisciplinary, incorporating perspectives in Distributed computing and Narrowband.
Xiang Cheng has researched MIMO in several fields, including Algorithm and Fading.
The Wireless study combines topics in areas such as NarrowBand IOT, Wide area network, Efficient energy use and Antenna.
His Electronic engineering research focuses on Spectral efficiency and how it connects with Precoding, Resource, Subcarrier and Modulation.
His work in Communication channel addresses issues such as Control theory, which are connected to fields such as Spatial correlation.
His most cited work include:
- Efficiency Resource Allocation for Device-to-Device Underlay Communication Systems: A Reverse Iterative Combinatorial Auction Based Approach (390 citations)
- Challenges Toward Wireless Communications for High-Speed Railway (283 citations)
- Vehicle-to-vehicle channel modeling and measurements: recent advances and future challenges (260 citations)
What are the main themes of his work throughout his whole career to date?
Xiang Cheng mostly deals with Electronic engineering, Communication channel, MIMO, Computer network and Wireless.
His study in Electronic engineering is interdisciplinary in nature, drawing from both Relay, Transmission, Modulation, Spectral efficiency and Orthogonal frequency-division multiplexing.
His Communication channel research is included under the broader classification of Telecommunications.
His MIMO study incorporates themes from Stochastic modelling, Spectral density, Wideband and Fading.
His Computer network research incorporates themes from Throughput, Distributed computing and Vehicular ad hoc network.
Xiang Cheng combines subjects such as Wireless sensor network, Maximum power transfer theorem and Energy harvesting with his study of Wireless.
He most often published in these fields:
- Electronic engineering (31.63%)
- Communication channel (28.57%)
- MIMO (22.11%)
What were the highlights of his more recent work (between 2018-2021)?
- Communication channel (28.57%)
- Electronic engineering (31.63%)
- MIMO (22.11%)
In recent papers he was focusing on the following fields of study:
Communication channel, Electronic engineering, MIMO, Computer network and Wireless are his primary areas of study.
The various areas that Xiang Cheng examines in his Communication channel study include Stochastic modelling, Physical layer, Processing delay, Key and Antenna.
His Electronic engineering research includes themes of Modulation, Spatial modulation, Precoding, Transceiver and Channel state information.
His MIMO study integrates concerns from other disciplines, such as Transmission, Wideband, Orthogonal frequency-division multiplexing and Communications system.
His Computer network research includes themes of Dissemination and Vehicular ad hoc network.
His Wireless study incorporates themes from Relay and Distributed data store.
Between 2018 and 2021, his most popular works were:
- Flexible Energy Management Protocol for Cooperative EV-to-EV Charging (38 citations)
- Wireless Toward the Era of Intelligent Vehicles (34 citations)
- Guest Editorial Special Issue on IoT on the Move: Enabling Technologies and Driving Applications for Internet of Intelligent Vehicles (IoIV) (27 citations)
In his most recent research, the most cited papers focused on:
- Computer network
- Telecommunications
- Statistics
Xiang Cheng spends much of his time researching Communication channel, Electronic engineering, Stochastic modelling, Stochastic simulation and MIMO.
The Electronic engineering study combines topics in areas such as Channel state information, Transceiver and Modulation.
As a part of the same scientific family, he mostly works in the field of Channel state information, focusing on Estimator and, on occasion, Wireless.
Xiang Cheng focuses mostly in the field of Wireless, narrowing it down to topics relating to Distributed data store and, in certain cases, Vehicular ad hoc network.
His Stochastic modelling research is multidisciplinary, incorporating elements of Correlation function, Fading, Stochastic process, Geometry and Spectral density.
His MIMO research is multidisciplinary, relying on both Processing delay, Upper and lower bounds and Physical layer.
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