What is he best known for?
The fields of study he is best known for:
- Computer network
- Telecommunications
- Algorithm
Wei Yu mainly investigates Communication channel, Beamforming, Telecommunications link, Mathematical optimization and Computer network.
The study incorporates disciplines such as Algorithm, Compressed sensing and Topology in addition to Communication channel.
His research in Beamforming intersects with topics in MIMO and Control theory.
His Telecommunications link research includes elements of Cellular network, Real-time computing, Background noise and Single antenna interference cancellation.
His Mathematical optimization research incorporates themes from Duality, Digital subscriber line and Power control.
His studies deal with areas such as Wireless and Transmitter power output as well as Computer network.
His most cited work include:
- Multi-Cell MIMO Cooperative Networks: A New Look at Interference (1614 citations)
- Dual methods for nonconvex spectrum optimization of multicarrier systems (1422 citations)
- Iterative water-filling for Gaussian vector multiple-access channels (951 citations)
What are the main themes of his work throughout his whole career to date?
Wei Yu focuses on Telecommunications link, Communication channel, Computer network, MIMO and Beamforming.
His Telecommunications link research is multidisciplinary, incorporating elements of Mathematical optimization, Radio access network, Base station, Scheduling and Channel state information.
Wei Yu interconnects Relay, Algorithm and Topology in the investigation of issues within Communication channel.
His work carried out in the field of Computer network brings together such families of science as Wireless, Wireless network and Single antenna interference cancellation.
His MIMO research focuses on Cellular network and how it connects with Duplex.
His Beamforming study contributes to a more complete understanding of Electronic engineering.
He most often published in these fields:
- Telecommunications link (33.33%)
- Communication channel (29.01%)
- Computer network (25.95%)
What were the highlights of his more recent work (between 2018-2021)?
- Communication channel (29.01%)
- MIMO (23.16%)
- Telecommunications link (33.33%)
In recent papers he was focusing on the following fields of study:
His primary areas of investigation include Communication channel, MIMO, Telecommunications link, Algorithm and Wireless.
The concepts of his Communication channel study are interwoven with issues in Artificial neural network, Beamforming and Computer engineering.
His Telecommunications link study combines topics from a wide range of disciplines, such as Precoding, Scheduling, Duplex, Base station and Radio access network.
His Wireless research includes themes of Cellular network, Computer network, Distributed computing, Relay and Single antenna interference cancellation.
His Computer network study integrates concerns from other disciplines, such as Wireless network and Transmission.
His biological study spans a wide range of topics, including Decoding methods and Power control.
Between 2018 and 2021, his most popular works were:
- Channel Estimation for Reconfigurable Intelligent Surface Aided Multi-User MIMO Systems (90 citations)
- Spatial Deep Learning for Wireless Scheduling (78 citations)
- Towards Optimal Power Control via Ensembling Deep Neural Networks (75 citations)
In his most recent research, the most cited papers focused on:
- Computer network
- Telecommunications
- Algorithm
His primary areas of study are MIMO, Communication channel, Algorithm, Computer engineering and Telecommunications link.
His work in MIMO addresses issues such as Random access, which are connected to fields such as False alarm, Maximum likelihood and Covariance.
The various areas that he examines in his Communication channel study include Wireless, Artificial neural network, Frequency reuse, Approximation algorithm and Estimator.
His studies in Computer engineering integrate themes in fields like Overhead and Base station.
His study in Telecommunications link is interdisciplinary in nature, drawing from both Array gain, Baseband, Precoding, Spectral efficiency and Channel state information.
His work deals with themes such as Optimization problem, Mathematical optimization and Decoding methods, which intersect with Noise power.
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