What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Telecommunications
- Computer network
His primary areas of investigation include Mathematical optimization, MIMO, Beamforming, Telecommunications link and Precoding.
His Mathematical optimization research is multidisciplinary, incorporating elements of Quality of service, Resource allocation and Efficient energy use.
The various areas that Yongming Huang examines in his MIMO study include Algorithm, Scheduling, Spectral efficiency and Fading.
His Beamforming research integrates issues from Wireless, Transmitter power output and Base station.
His Precoding study results in a more complete grasp of Communication channel.
His studies deal with areas such as Communications system and Topology as well as Communication channel.
His most cited work include:
- Millimeter Wave Communications for Future Mobile Networks (441 citations)
- On Optimal Power Allocation for Downlink Non-Orthogonal Multiple Access Systems (178 citations)
- Coordinated Beamforming for Energy Efficient Transmission in Multicell Multiuser Systems (155 citations)
What are the main themes of his work throughout his whole career to date?
Yongming Huang mainly investigates Telecommunications link, Communication channel, MIMO, Electronic engineering and Mathematical optimization.
His work in Telecommunications link addresses subjects such as Base station, which are connected to disciplines such as Real-time computing and Distributed computing.
In his study, which falls under the umbrella issue of Communication channel, Relay and Throughput is strongly linked to Computer network.
His research integrates issues of Algorithm, Channel state information and Control theory in his study of MIMO.
His studies in Electronic engineering integrate themes in fields like Wireless, Transmission, Orthogonal frequency-division multiplexing, Communications system and Antenna.
His Mathematical optimization study integrates concerns from other disciplines, such as Quality of service, Beamforming and Efficient energy use.
He most often published in these fields:
- Telecommunications link (25.53%)
- Communication channel (24.12%)
- MIMO (22.48%)
What were the highlights of his more recent work (between 2019-2021)?
- Electronic engineering (21.31%)
- Wireless (16.63%)
- Beamforming (19.20%)
In recent papers he was focusing on the following fields of study:
His main research concerns Electronic engineering, Wireless, Beamforming, Telecommunications link and Communication channel.
Yongming Huang combines subjects such as Optimization problem and Enhanced Data Rates for GSM Evolution with his study of Beamforming.
His Optimization problem study contributes to a more complete understanding of Mathematical optimization.
Yongming Huang interconnects Quality of service, Efficient energy use, Spectral efficiency and Base station in the investigation of issues within Telecommunications link.
His Base station study frequently intersects with other fields, such as MIMO.
His study in Communication channel is interdisciplinary in nature, drawing from both Interference and Transmission.
Between 2019 and 2021, his most popular works were:
- BlendMask: Top-Down Meets Bottom-Up for Instance Segmentation (53 citations)
- Towards 6G wireless communication networks: vision, enabling technologies, and new paradigm shifts (46 citations)
- Power Efficient IRS-Assisted NOMA (22 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Telecommunications
- Computer network
His primary scientific interests are in Wireless, Distributed computing, Beam, Artificial intelligence and Beamforming.
He has researched Wireless in several fields, including Network architecture and Energy consumption, Mobile edge computing.
His Distributed computing research includes themes of Scheduling, Base station and Reinforcement learning.
The concepts of his Beam study are interwoven with issues in Extremely high frequency and Electronic engineering.
His Beamforming research incorporates elements of Optimization problem, Mathematical optimization and Noma, Telecommunications link.
The study incorporates disciplines such as Transmission, Communication channel, Algorithm, Decoding methods and Dirty paper coding in addition to Noma.
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