What is he best known for?
The fields of study he is best known for:
- Computer network
- Telecommunications
- Artificial intelligence
His primary scientific interests are in Efficient energy use, Computer network, Distributed computing, MIMO and Power control.
His Efficient energy use study combines topics in areas such as Spectral efficiency and Heterogeneous network.
His Quality of service and Soft handover study in the realm of Computer network interacts with subjects such as Resource management.
His research integrates issues of Call blocking, Handover, Enhanced Interior Gateway Routing Protocol and Cluster based, Cluster analysis in his study of Distributed computing.
His work carried out in the field of Power control brings together such families of science as Energy consumption, Resource allocation, Transmitter power output and Base station.
His research investigates the connection between Energy consumption and topics such as Heuristic that intersect with issues in Cellular network.
His most cited work include:
- User Association in 5G Networks: A Survey and an Outlook (378 citations)
- The Impact of Rank Attack on Network Topology of Routing Protocol for Low-Power and Lossy Networks (89 citations)
- Multiple Antenna Aided NOMA in UAV Networks: A Stochastic Geometry Approach (88 citations)
What are the main themes of his work throughout his whole career to date?
Yue Chen mainly focuses on Computer network, Efficient energy use, Distributed computing, Cellular network and Base station.
Yue Chen has included themes like Wireless and Throughput in his Computer network study.
His Efficient energy use research incorporates elements of Energy consumption, MIMO, Duty cycle and IEEE 802.11ah.
His study focuses on the intersection of Distributed computing and fields such as Noma with connections in the field of Roaming.
Cellular network is frequently linked to Load balancing in his study.
His study connects Heterogeneous network and Base station.
He most often published in these fields:
- Computer network (34.62%)
- Efficient energy use (24.52%)
- Distributed computing (20.19%)
What were the highlights of his more recent work (between 2019-2021)?
- Wireless network (12.50%)
- Noma (10.58%)
- Spectral efficiency (11.54%)
In recent papers he was focusing on the following fields of study:
Yue Chen spends much of his time researching Wireless network, Noma, Spectral efficiency, Distributed computing and Reinforcement learning.
Yue Chen combines subjects such as Upper and lower bounds, Optimization problem, Mathematical optimization and Decoding methods with his study of Noma.
His Distributed computing research includes elements of Rate of convergence, Stochastic optimization, Transmitter power output and Telecommunications link.
Yue Chen interconnects Energy consumption, Mobile edge computing and Robot in the investigation of issues within Reinforcement learning.
His Energy consumption study combines topics from a wide range of disciplines, such as Scheduling and Computer network.
Yue Chen has researched Beamforming in several fields, including Control theory, Efficient energy use, Communication channel and Base station.
Between 2019 and 2021, his most popular works were:
- Reconfigurable Intelligent Surface Aided NOMA Networks (60 citations)
- RIS Enhanced Massive Non-Orthogonal Multiple Access Networks: Deployment and Passive Beamforming Design (24 citations)
- MIMO-NOMA Networks Relying on Reconfigurable Intelligent Surface: A Signal Cancellation-Based Design (18 citations)
In his most recent research, the most cited papers focused on:
- Computer network
- Telecommunications
- Artificial intelligence
Yue Chen mostly deals with Beamforming, Spectral efficiency, Wireless network, Noma and Efficient energy use.
His Spectral efficiency research includes themes of Wireless and Topology.
His research in Wireless network focuses on subjects like Base station, which are connected to Network performance.
The various areas that Yue Chen examines in his Noma study include Upper and lower bounds and Optimization problem, Mathematical optimization.
His study in Efficient energy use is interdisciplinary in nature, drawing from both Access network and Distributed computing.
His MIMO study, which is part of a larger body of work in Communication channel, is frequently linked to Scattering, bridging the gap between disciplines.
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