What is he best known for?
The fields of study he is best known for:
- Telecommunications
- Computer network
- Statistics
Julian Cheng mostly deals with Electronic engineering, Fading, Wireless, Word error rate and Phase-shift keying.
His Electronic engineering research incorporates elements of Spectral efficiency, Interference, Orthogonal frequency-division multiplexing, Algorithm and Quadrature amplitude modulation.
His Fading research is multidisciplinary, incorporating elements of Probability density function and Weibull distribution.
His Wireless research integrates issues from Optical communication and Computer network, Telecommunications link.
His Word error rate research includes elements of Bit error rate, Control theory and Free-space optical communication.
The concepts of his Phase-shift keying study are interwoven with issues in Keying and Subcarrier.
His most cited work include:
- A Survey of Underwater Optical Wireless Communications (345 citations)
- Energy-Efficient Resource Allocation for Downlink Non-Orthogonal Multiple Access Network (233 citations)
- Emerging Optical Wireless Communications-Advances and Challenges (218 citations)
What are the main themes of his work throughout his whole career to date?
Julian Cheng spends much of his time researching Electronic engineering, Communication channel, Fading, Algorithm and Wireless.
The study incorporates disciplines such as Phase-shift keying, Optical wireless, Optical wireless communications and Orthogonal frequency-division multiplexing in addition to Electronic engineering.
Julian Cheng focuses mostly in the field of Communication channel, narrowing it down to topics relating to Transmitter power output and, in certain cases, Quality of service.
His Fading study incorporates themes from Signal-to-noise ratio, Probability density function and Word error rate.
His studies deal with areas such as Computer network, Beamforming and Mathematical optimization as well as Wireless.
In his study, Optimization problem is inextricably linked to Relay, which falls within the broad field of Computer network.
He most often published in these fields:
- Electronic engineering (27.59%)
- Communication channel (24.05%)
- Fading (23.04%)
What were the highlights of his more recent work (between 2019-2021)?
- Electronic engineering (27.59%)
- Communication channel (24.05%)
- Algorithm (15.95%)
In recent papers he was focusing on the following fields of study:
His primary areas of study are Electronic engineering, Communication channel, Algorithm, Fading and Optimization problem.
Julian Cheng interconnects Wireless, Wireless network, Base station, Orthogonal frequency-division multiplexing and Channel capacity in the investigation of issues within Electronic engineering.
His work deals with themes such as Upper and lower bounds, Deep learning, Artificial intelligence and Transmitter power output, which intersect with Communication channel.
His Algorithm research incorporates themes from Channel, Signal-to-noise ratio, Photodiode and Communications system.
The various areas that Julian Cheng examines in his Fading study include Ultrasonic sensor, Energy and Random variable.
His Optimization problem study integrates concerns from other disciplines, such as Resource allocation, Decoding methods, Telecommunications link and Benchmark.
Between 2019 and 2021, his most popular works were:
- Sparse Channel Estimation and Hybrid Precoding Using Deep Learning for Millimeter Wave Massive MIMO (26 citations)
- Joint Placement Design, Admission Control, and Power Allocation for NOMA-Based UAV Systems (14 citations)
- Performance Analysis of Hybrid Satellite-Terrestrial Cooperative Networks With Relay Selection (11 citations)
In his most recent research, the most cited papers focused on:
- Telecommunications
- Computer network
- Statistics
Communication channel, Electronic engineering, Relay, Fading and Optimization problem are his primary areas of study.
His Communication channel study combines topics from a wide range of disciplines, such as Adaptive optics, Deep learning, Artificial intelligence, Algorithm and Monte Carlo method.
His biological study focuses on Bandwidth.
Julian Cheng has researched Fading in several fields, including Upper and lower bounds and Key.
The Optimization problem study combines topics in areas such as Distributed computing, Beamforming, Telecommunications link and Benchmark.
His biological study deals with issues like Random variable, which deal with fields such as Wireless, Cumulative distribution function, Moment and Probability density function.
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