What is he best known for?
The fields of study he is best known for:
- Computer network
- Telecommunications
- Artificial intelligence
The scientist’s investigation covers issues in Noma, Base station, Wireless, Computer network and Throughput.
His research in Noma focuses on subjects like MIMO, which are connected to Theoretical computer science.
His work deals with themes such as Distributed computing, Power control, Communication channel, Fading and Heterogeneous network, which intersect with Base station.
His Wireless research incorporates elements of Efficient energy use and Spectral efficiency.
Yuanwei Liu has included themes like Cognitive radio, Underlay, Transmitter power output and Relay in his Computer network study.
Yuanwei Liu interconnects Wireless power transfer, Transmission, Diversity gain, Maximum power transfer theorem and Electronic engineering in the investigation of issues within Throughput.
His most cited work include:
- Application of Non-Orthogonal Multiple Access in LTE and 5G Networks (1044 citations)
- Nonorthogonal Multiple Access for 5G and Beyond (488 citations)
- Enhancing the Physical Layer Security of Non-Orthogonal Multiple Access in Large-Scale Networks (348 citations)
What are the main themes of his work throughout his whole career to date?
Yuanwei Liu mainly investigates Noma, Base station, Telecommunications link, Communication channel and Wireless.
His research integrates issues of Non orthogonal, Transmitter power output, Signal-to-noise ratio, Spectral efficiency and Optimization problem in his study of Noma.
His Spectral efficiency study incorporates themes from MIMO and Topology.
His Base station study is concerned with Computer network in general.
His Computer network study combines topics from a wide range of disciplines, such as Cognitive radio and Physical layer.
As part of one scientific family, Yuanwei Liu deals mainly with the area of Wireless, narrowing it down to issues related to the Relay, and often Transmitter.
He most often published in these fields:
- Noma (31.56%)
- Base station (22.92%)
- Telecommunications link (21.93%)
What were the highlights of his more recent work (between 2019-2021)?
- Noma (31.56%)
- Communication channel (20.60%)
- Telecommunications link (21.93%)
In recent papers he was focusing on the following fields of study:
Noma, Communication channel, Telecommunications link, Wireless and Optimization problem are his primary areas of study.
His Noma research entails a greater understanding of Computer network.
In his study, which falls under the umbrella issue of Communication channel, Power budget is strongly linked to Time division multiple access.
His biological study spans a wide range of topics, including Transmission, Electronic engineering and Fading.
His Wireless research is multidisciplinary, incorporating elements of Relay, Base station and Reinforcement learning.
His Optimization problem research also works with subjects such as
- Decoding methods that connect with fields like Beamforming,
- Resource allocation together with Distributed computing, Cluster analysis, Throughput, Cache and Mobile edge computing.
Between 2019 and 2021, his most popular works were:
- Residual Transceiver Hardware Impairments on Cooperative NOMA Networks (71 citations)
- Reconfigurable Intelligent Surface Aided NOMA Networks (60 citations)
- Multi-Agent Reinforcement Learning-Based Resource Allocation for UAV Networks (58 citations)
In his most recent research, the most cited papers focused on:
- Computer network
- Telecommunications
- Artificial intelligence
Yuanwei Liu mostly deals with Noma, Communication channel, Wireless, Telecommunications link and Resource allocation.
His Noma study combines topics in areas such as Outage probability, Fading, Multi-user, Signal-to-noise ratio and Single antenna interference cancellation.
His Wireless study integrates concerns from other disciplines, such as Telecommunications network, Relay and Base station.
His Base station research integrates issues from Wireless network, Network performance, Efficient energy use and Cellular network.
The study incorporates disciplines such as Decoding methods and Transmission in addition to Telecommunications link.
His Resource allocation research is multidisciplinary, relying on both Distributed computing, Optimization problem, Mathematical optimization and Cache.
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