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 Computer network, Efficient energy use, Base station, Throughput and Transmitter power output.
The various areas that Chenyang Yang examines in his Computer network study include Cognitive radio, Wireless and Transmission.
The Efficient energy use study combines topics in areas such as Resource allocation, Energy consumption, Telecommunications, Relay and Wireless network.
His study explores the link between Base station and topics such as Cellular network that cross with problems in Real-time computing.
His Transmitter power output research incorporates elements of Subcarrier, Bandwidth allocation and Mathematical optimization.
Chenyang Yang works mostly in the field of Electronic engineering, limiting it down to concerns involving Orthogonal frequency-division multiplexing and, occasionally, Multi-user MIMO.
His most cited work include:
- OFDM and Its Wireless Applications: A Survey (657 citations)
- Energy-efficient wireless communications: tutorial, survey, and open issues (617 citations)
- A Survey of Energy-Efficient Techniques for 5G Networks and Challenges Ahead (394 citations)
What are the main themes of his work throughout his whole career to date?
His scientific interests lie mostly in Computer network, Base station, Communication channel, Telecommunications link and Electronic engineering.
His Computer network research is multidisciplinary, incorporating perspectives in Transmission and Throughput.
Chenyang Yang has researched Base station in several fields, including Wireless, Distributed computing, Real-time computing, Spectral efficiency and Efficient energy use.
His Communication channel research includes elements of Algorithm and Network packet.
His research in Telecommunications link focuses on subjects like MIMO, which are connected to Control theory, Topology and Antenna.
The various areas that Chenyang Yang examines in his Electronic engineering study include Telecommunications, Transceiver and Relay.
He most often published in these fields:
- Computer network (38.61%)
- Base station (33.06%)
- Communication channel (31.39%)
What were the highlights of his more recent work (between 2017-2021)?
- Artificial intelligence (8.33%)
- Deep learning (6.11%)
- Base station (33.06%)
In recent papers he was focusing on the following fields of study:
His primary areas of study are Artificial intelligence, Deep learning, Base station, Computer network and Quality of service.
The Base station study combines topics in areas such as Network performance, Cellular network, Distributed computing, Data mining and Recommender system.
Chenyang Yang combines subjects such as Transmission and Federated learning with his study of Computer network.
In his study, Queueing theory, Telecommunications link, Bandwidth and Latency is strongly linked to Packet loss, which falls under the umbrella field of Quality of service.
His research integrates issues of Computational complexity theory, Wireless network, Throughput and Mathematical optimization in his study of Resource allocation.
Chenyang Yang has included themes like Efficient energy use and Transmitter power output in his Communication channel study.
Between 2017 and 2021, his most popular works were:
- Deep Reinforcement Learning for Resource Management in Network Slicing (84 citations)
- Joint Uplink and Downlink Resource Configuration for Ultra-Reliable and Low-Latency Communications (69 citations)
- Optimizing Resource Allocation in the Short Blocklength Regime for Ultra-Reliable and Low-Latency Communications (67 citations)
In his most recent research, the most cited papers focused on:
- Computer network
- Telecommunications
- Artificial intelligence
Chenyang Yang mainly investigates Resource allocation, Quality of service, Wireless, Deep learning and Artificial intelligence.
His Resource allocation research focuses on Mathematical optimization and how it connects with Efficient energy use, Boosting and Recommender system.
His Quality of service study is concerned with the larger field of Computer network.
His work in Wireless tackles topics such as Enhanced Data Rates for GSM Evolution which are related to areas like Probabilistic logic, User experience design and Transmission.
His Cellular network research is multidisciplinary, incorporating elements of Constraint and Base station.
His research in Transmitter power output intersects with topics in Multiplexing, Electronic engineering and MIMO.
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