What is he best known for?
The fields of study he is best known for:
- Computer network
- Telecommunications
- Artificial intelligence
His scientific interests lie mostly in Computer network, Wireless, Interference alignment, Wireless network and Interference.
His research links Throughput with Computer network.
His Wireless study integrates concerns from other disciplines, such as Network topology, Distributed computing and Base station.
His Interference alignment research incorporates elements of Energy harvesting and Key.
His Wireless network research includes elements of Interference, Signal-to-interference-plus-noise ratio, Zero-forcing precoding, Electronic engineering and Channel state information.
His Interference research includes themes of Cognitive radio, Communication channel, Efficient energy use and Transceiver.
His most cited work include:
- A Survey of Channel Modeling for UAV Communications (272 citations)
- Integrated Networking, Caching, and Computing for Connected Vehicles: A Deep Reinforcement Learning Approach (236 citations)
- Software-Defined Networks with Mobile Edge Computing and Caching for Smart Cities: A Big Data Deep Reinforcement Learning Approach (177 citations)
What are the main themes of his work throughout his whole career to date?
Nan Zhao spends much of his time researching Computer network, Wireless, Communication channel, Wireless network and Interference.
His study on Eavesdropping, Secure transmission and Base station is often connected to Jamming as part of broader study in Computer network.
His studies deal with areas such as Transmitter power output, Energy harvesting, Maximum power transfer theorem, Electronic engineering and Efficient energy use as well as Wireless.
His Communication channel research is multidisciplinary, relying on both Algorithm, Overhead and Relay.
His research on Wireless network also deals with topics like
- Distributed computing which is related to area like Resource allocation, Reinforcement learning and Mobile computing,
- Optimization problem that connect with fields like Iterative method.
The concepts of his Interference study are interwoven with issues in Signal-to-noise ratio and Interference alignment.
He most often published in these fields:
- Computer network (36.59%)
- Wireless (28.26%)
- Communication channel (21.74%)
What were the highlights of his more recent work (between 2019-2021)?
- Computer network (36.59%)
- Wireless (28.26%)
- Noma (8.70%)
In recent papers he was focusing on the following fields of study:
His primary areas of investigation include Computer network, Wireless, Noma, Wireless network and Transmission.
His research in Computer network intersects with topics in Relay, Throughput and Transmitter power output.
His research integrates issues of Wireless sensor network, Communication channel, Optimization problem, Efficient energy use and Maximum power transfer theorem in his study of Wireless.
The various areas that Nan Zhao examines in his Wireless network study include Node, Upper and lower bounds and Electrical engineering.
His study looks at the intersection of Transmission and topics like Spectral efficiency with Computer engineering, Quality of service and Bandwidth.
The Eavesdropping study combines topics in areas such as Channel state information and Base station.
Between 2019 and 2021, his most popular works were:
- Joint Precoding Optimization for Secure SWIPT in UAV-Aided NOMA Networks (32 citations)
- Robust Federated Learning With Noisy Communication (22 citations)
- Security Enhancement for NOMA-UAV Networks (21 citations)
In his most recent research, the most cited papers focused on:
- Computer network
- Artificial intelligence
- Telecommunications
Nan Zhao mainly focuses on Wireless, Computer network, Noma, Mathematical optimization and Efficient energy use.
His Wireless study incorporates themes from Node, Optimization problem, Wireless sensor network and Communication channel.
His work carried out in the field of Computer network brings together such families of science as Throughput and Spectrum sharing.
His Noma research also works with subjects such as
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Beamforming, Precoding and Electronic engineering most often made with reference to Eavesdropping,
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Secure transmission that intertwine with fields like Interference, Transmitter power output and Upper and lower bounds.
His studies in Precoding integrate themes in fields like Wireless network and Single antenna interference cancellation.
His Efficient energy use study also includes
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Energy harvesting and Power budget most often made with reference to Maximum power transfer theorem,
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Cellular network which connect with Real-time computing, Resource allocation, Heuristic and Quality of service.
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