What is he best known for?
The fields of study he is best known for:
- Computer network
- Statistics
- Telecommunications
His scientific interests lie mostly in Orthogonal frequency-division multiplexing, Computer network, Electronic engineering, Reduction and Algorithm.
His Orthogonal frequency-division multiplexing research incorporates elements of Iterative method, Spectral efficiency and Quadrature amplitude modulation, Modulation.
His Computer network research includes elements of Wireless and Wireless network.
His Electronic engineering research is multidisciplinary, relying on both Nonlinear distortion, Additive white Gaussian noise, Companding, Bit error rate and Signal processing.
His study in Reduction is interdisciplinary in nature, drawing from both Computational complexity theory, Phase and Transmitter.
His Algorithm research is multidisciplinary, incorporating elements of Transmission and Frequency domain.
His most cited work include:
- An Overview: Peak-to-Average Power Ratio Reduction Techniques for OFDM Signals (1131 citations)
- Exponential companding technique for PAPR reduction in OFDM systems (284 citations)
- Deep learning for wireless physical layer: Opportunities and challenges (277 citations)
What are the main themes of his work throughout his whole career to date?
Tao Jiang mostly deals with Algorithm, Orthogonal frequency-division multiplexing, Computer network, Communication channel and Electronic engineering.
As part of the same scientific family, Tao Jiang usually focuses on Orthogonal frequency-division multiplexing, concentrating on Reduction and intersecting with Computational complexity theory.
The various areas that Tao Jiang examines in his Computer network study include Wireless and Cognitive radio.
His Wireless study combines topics in areas such as Transmission and Real-time computing.
His Communication channel research includes themes of Preamble and Control theory.
His Electronic engineering research incorporates themes from Signal-to-noise ratio, Telecommunications, Communications system and Modulation.
He most often published in these fields:
- Algorithm (22.83%)
- Orthogonal frequency-division multiplexing (22.02%)
- Computer network (20.40%)
What were the highlights of his more recent work (between 2018-2021)?
- Wireless (16.97%)
- Communication channel (20.20%)
- Real-time computing (13.74%)
In recent papers he was focusing on the following fields of study:
The scientist’s investigation covers issues in Wireless, Communication channel, Real-time computing, Algorithm and Electronic engineering.
His work deals with themes such as Beamforming and Artificial intelligence, which intersect with Wireless.
Tao Jiang has included themes like Transmission, Overhead and Antenna in his Communication channel study.
His studies in Algorithm integrate themes in fields like Scattering, Bit error rate, Orthogonal frequency-division multiplexing, Quadrature amplitude modulation and Preamble.
His research in Orthogonal frequency-division multiplexing is mostly focused on Subcarrier.
His Wideband study in the realm of Electronic engineering interacts with subjects such as Throughput.
Between 2018 and 2021, his most popular works were:
- Online Energy Management for a Sustainable Smart Home With an HVAC Load and Random Occupancy (43 citations)
- Caching Transient Data for Internet of Things: A Deep Reinforcement Learning Approach (37 citations)
- Deep Reinforcement Learning for Smart Home Energy Management (36 citations)
In his most recent research, the most cited papers focused on:
- Computer network
- Statistics
- Telecommunications
His main research concerns Communication channel, Wireless, Algorithm, MIMO and Electronic engineering.
His biological study spans a wide range of topics, including Transmission and Overhead.
His work carried out in the field of Wireless brings together such families of science as Real-time computing, Wireless sensor network and Beamforming.
In his study, Estimation theory and Identifiability is inextricably linked to Scattering, which falls within the broad field of Algorithm.
His Electronic engineering study integrates concerns from other disciplines, such as Channel state information and Interference.
His research in Channel state information intersects with topics in Orthogonal frequency-division multiplexing, Demodulation, The Internet and Gaussian frequency-shift keying.
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