What is he best known for?
The fields of study he is best known for:
- Computer network
- Statistics
- Algorithm
Pingzhi Fan mostly deals with Computer network, Algorithm, Noma, Telecommunications link and Communication channel.
His Computer network study combines topics in areas such as Wireless, Cognitive radio and Relay.
Pingzhi Fan has included themes like Theoretical computer science, Spread spectrum, Code, Bit error rate and Electronic engineering in his Algorithm study.
His research investigates the connection with Noma and areas like Signal-to-noise ratio which intersect with concerns in Statistics, Encoding, Expression, Monte Carlo method and Nakagami distribution.
His Telecommunications link research integrates issues from Decoding methods and Mathematical optimization.
His studies in Communication channel integrate themes in fields like Transmitter power output and Communications system.
His most cited work include:
- On the Performance of Non-Orthogonal Multiple Access in 5G Systems with Randomly Deployed Users (1341 citations)
- Impact of User Pairing on 5G Nonorthogonal Multiple-Access Downlink Transmissions (883 citations)
- Sequence design for communications applications (519 citations)
What are the main themes of his work throughout his whole career to date?
Pingzhi Fan mainly investigates Algorithm, Computer network, Communication channel, Electronic engineering and Fading.
His Algorithm research is multidisciplinary, relying on both Telecommunications, Sequence, Bit error rate and Code.
Computer network and Wireless are commonly linked in his work.
His studies deal with areas such as Upper and lower bounds, Transmitter power output and Control theory as well as Communication channel.
His research integrates issues of Transmission, Multipath propagation and Interference in his study of Electronic engineering.
Pingzhi Fan has researched Telecommunications link in several fields, including MIMO and Mathematical optimization.
He most often published in these fields:
- Algorithm (27.71%)
- Computer network (23.58%)
- Communication channel (18.93%)
What were the highlights of his more recent work (between 2018-2021)?
- Computer network (23.58%)
- Algorithm (27.71%)
- Transmission (7.57%)
In recent papers he was focusing on the following fields of study:
Computer network, Algorithm, Transmission, Telecommunications link and Communication channel are his primary areas of study.
His research in Computer network intersects with topics in Wireless and Spectral efficiency.
His Algorithm research is multidisciplinary, incorporating perspectives in Message passing and Sequence design.
His work focuses on many connections between Telecommunications link and other disciplines, such as MIMO, that overlap with his field of interest in Beamforming, Boolean function and Binary number.
Pingzhi Fan interconnects Electronic engineering, Signal, Modulation and Overhead in the investigation of issues within Communication channel.
His Base station course of study focuses on Mathematical optimization and Transmitter power output.
Between 2018 and 2021, his most popular works were:
- 6G Wireless Networks: Vision, Requirements, Architecture, and Key Technologies (259 citations)
- Impact of Non-Orthogonal Multiple Access on the Offloading of Mobile Edge Computing (83 citations)
- Cooperative NOMA Broadcasting/Multicasting for Low-Latency and High-Reliability 5G Cellular V2X Communications (49 citations)
In his most recent research, the most cited papers focused on:
- Computer network
- Statistics
- Algorithm
Pingzhi Fan mainly focuses on Computer network, Telecommunications link, Algorithm, Communication channel and Base station.
He combines subjects such as Wireless, Wireless ad hoc network and Spectral efficiency with his study of Computer network.
His Telecommunications link research includes elements of Orthogonal frequency-division multiplexing and Fading.
His Algorithm research incorporates elements of MIMO, Beamforming, Bit error rate and Modulation.
The study incorporates disciplines such as Convergence and Energy in addition to Communication channel.
His Noma research incorporates themes from Quality of service and Transmitter power output.
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