What is he best known for?
The fields of study he is best known for:
- Computer network
- Telecommunications
- The Internet
Computer network, Cellular network, Relay, Resource allocation and Telecommunications link are his primary areas of study.
His studies deal with areas such as Wireless, Throughput, Physical layer, Distributed computing and Radio resource management as well as Computer network.
The various areas that Lingyang Song examines in his Cellular network study include Mobile broadband, Underlay and Combinatorial auction.
His research in Relay is mostly focused on Relay channel.
His Resource allocation study incorporates themes from Scheduling, Shared resource and Mathematical optimization.
His biological study spans a wide range of topics, including Transmission, Transmitter power output and Base station.
His most cited work include:
- Efficiency Resource Allocation for Device-to-Device Underlay Communication Systems: A Reverse Iterative Combinatorial Auction Based Approach (390 citations)
- Game-theoretic resource allocation methods for device-to-device communication (272 citations)
- Joint Relay and Jammer Selection for Secure Two-Way Relay Networks (249 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of study are Computer network, Wireless, Cellular network, Relay and Communication channel.
His work on Resource allocation as part of general Computer network study is frequently connected to Resource management, therefore bridging the gap between diverse disciplines of science and establishing a new relationship between them.
His research in Wireless intersects with topics in Electronic engineering, Telecommunications link and Base station.
Lingyang Song focuses mostly in the field of Cellular network, narrowing it down to matters related to Transmission and, in some cases, Protocol.
Lingyang Song works mostly in the field of Relay, limiting it down to topics relating to Topology and, in certain cases, Telecommunications and Duplex, as a part of the same area of interest.
His research in Communication channel tackles topics such as Throughput which are related to areas like Cognitive radio.
He most often published in these fields:
- Computer network (39.76%)
- Wireless (20.31%)
- Cellular network (15.70%)
What were the highlights of his more recent work (between 2019-2021)?
- Electronic engineering (11.95%)
- Wireless (20.31%)
- Real-time computing (11.09%)
In recent papers he was focusing on the following fields of study:
His primary scientific interests are in Electronic engineering, Wireless, Real-time computing, Base station and Telecommunications link.
His Electronic engineering research is multidisciplinary, incorporating perspectives in Multi-user, Fading and Communications system.
His Wireless study integrates concerns from other disciplines, such as Radio frequency, Computer network, Focus and Edge computing.
His Mobile edge computing study in the realm of Computer network interacts with subjects such as Resource management.
His Base station study combines topics in areas such as Transmission, Scheduling, Transmitter power output and Minification.
His research investigates the connection between Transmission and topics such as Cellular network that intersect with problems in Spectrum management and Communication channel.
Between 2019 and 2021, his most popular works were:
- Hybrid Beamforming for Reconfigurable Intelligent Surface based Multi-User Communications: Achievable Rates With Limited Discrete Phase Shifts (88 citations)
- Reconfigurable Intelligent Surfaces Assisted Communications With Limited Phase Shifts: How Many Phase Shifts Are Enough? (86 citations)
- Reconfigurable Intelligent Surfaces for Wireless Communications: Principles, Challenges, and Opportunities (50 citations)
In his most recent research, the most cited papers focused on:
- Computer network
- The Internet
- Telecommunications
The scientist’s investigation covers issues in Wireless, Telecommunications link, Base station, Electronic engineering and Real-time computing.
Lingyang Song has included themes like Multiplexing, Scheduling, Computer network and Communication channel in his Wireless study.
The concepts of his Computer network study are interwoven with issues in Cognitive radio and Enhanced Data Rates for GSM Evolution, Edge computing.
In his study, User equipment is strongly linked to Optimization problem, which falls under the umbrella field of Telecommunications link.
His Electronic engineering research includes themes of Phase and Communications system.
The concepts of his Real-time computing study are interwoven with issues in Cellular network and The Internet.
This overview was generated by a machine learning system which analysed the scientist’s
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