What is he best known for?
The fields of study he is best known for:
- Computer network
- Telecommunications
- Statistics
Computer network, Communication channel, Algorithm, Multiuser detection and Applied mathematics are his primary areas of study.
The concepts of his Computer network study are interwoven with issues in Wireless, Wireless ad hoc network, Wireless network, Relay and Compressed sensing.
His Communication channel research incorporates elements of Beamforming and Control theory.
Dongning Guo works mostly in the field of Algorithm, limiting it down to topics relating to Mean squared error and, in certain cases, Single antenna interference cancellation and Matched filter, as a part of the same area of interest.
His Multiuser detection research includes themes of Decoding methods and Theoretical computer science.
He has researched Minimum mean square error in several fields, including Information theory and Gaussian noise.
His most cited work include:
- In-Band Full-Duplex Wireless: Challenges and Opportunities (1461 citations)
- Mutual information and minimum mean-square error in Gaussian channels (1000 citations)
- Randomly spread CDMA: asymptotics via statistical physics (406 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of study are Computer network, Communication channel, Wireless network, Algorithm and Channel state information.
His research integrates issues of Wireless, Wireless ad hoc network and Distributed computing in his study of Computer network.
His study in Communication channel is interdisciplinary in nature, drawing from both Information theory and Decoding methods.
The concepts of his Algorithm study are interwoven with issues in Mean squared error, Code division multiple access, Theoretical computer science and Matched filter.
His Channel state information research incorporates themes from Rayleigh fading, Control theory, Beamforming, Transmitter and Topology.
His study explores the link between Gaussian noise and topics such as Minimum mean square error that cross with problems in Mutual information.
He most often published in these fields:
- Computer network (27.87%)
- Communication channel (24.59%)
- Wireless network (20.90%)
What were the highlights of his more recent work (between 2015-2020)?
- Computer network (27.87%)
- Wireless network (20.90%)
- Frequency allocation (9.43%)
In recent papers he was focusing on the following fields of study:
His primary scientific interests are in Computer network, Wireless network, Frequency allocation, Communication channel and Distributed computing.
As part of his studies on Computer network, Dongning Guo frequently links adjacent subjects like Wireless.
His studies in Wireless network integrate themes in fields like Network architecture, Ranging, Duplex, Local area network and Reinforcement learning.
His Frequency allocation study incorporates themes from Spectrum management, Cellular network, Mathematical optimization and Throughput.
Dongning Guo has included themes like Information theory, Decoding methods and Radio resource management in his Communication channel study.
His Distributed computing research incorporates elements of Quality of service, Transmission, Scheduling and User equipment.
Between 2015 and 2020, his most popular works were:
- Multi-Agent Deep Reinforcement Learning for Dynamic Power Allocation in Wireless Networks (102 citations)
- Energy-Efficient Cell Activation, User Association, and Spectrum Allocation in Heterogeneous Networks (101 citations)
- Tracking angles of departure and arrival in a mobile millimeter wave channel (98 citations)
In his most recent research, the most cited papers focused on:
- Computer network
- Telecommunications
- Statistics
Dongning Guo mainly focuses on Computer network, Communication channel, Wireless network, Spectrum management and Frequency allocation.
His work carried out in the field of Computer network brings together such families of science as Relay, Outage probability, Wireless communication systems, Point and Repeated game.
His Communication channel research is multidisciplinary, relying on both Algorithm, Compressed sensing and Beamforming.
His Algorithm study combines topics in areas such as Resource allocation, Throughput and Cellular network.
His Radio resource management study in the realm of Wireless network interacts with subjects such as Broadband networks.
His Channel state information research focuses on Transmitter and how it connects with MIMO, Precoding, Control theory, Control channel and Telecommunications link.
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