What is she best known for?
The fields of study she is best known for:
- Computer network
- Telecommunications
- The Internet
Rose Qingyang Hu spends much of her time researching Computer network, Wireless, Wireless network, Efficient energy use and Distributed computing.
Her Computer network research incorporates themes from Relay and Spectral efficiency.
Her Wireless study incorporates themes from Optimization problem, Beamforming, Control channel and Computer engineering.
Her Wireless network study combines topics from a wide range of disciplines, such as Cellular network, Noma and Power control.
She combines subjects such as Telecommunications network, Quality of service, Smart grid and Communications system with her study of Distributed computing.
Her Heterogeneous network research focuses on subjects like Radio resource management, which are linked to Wireless WAN and Exploit.
Her most cited work include:
- An energy efficient and spectrum efficient wireless heterogeneous network framework for 5G systems (346 citations)
- Key elements to enable millimeter wave communications for 5G wireless systems (246 citations)
- Cooperative communications for wireless networks: techniques and applications in LTE-advanced systems (234 citations)
What are the main themes of her work throughout her whole career to date?
Her primary areas of investigation include Computer network, Wireless, Distributed computing, Relay and Wireless network.
The concepts of her Computer network study are interwoven with issues in Heterogeneous network and Radio resource management.
Rose Qingyang Hu has researched Wireless in several fields, including Resource allocation, Transmission, Beamforming, Spectral efficiency and Efficient energy use.
The study incorporates disciplines such as Quality of service, Vehicular ad hoc network, Scheduling, Cloud computing and Server in addition to Distributed computing.
Rose Qingyang Hu usually deals with Relay and limits it to topics linked to Node and Network packet.
Her research in Telecommunications link intersects with topics in Underlay and Power control.
She most often published in these fields:
- Computer network (54.87%)
- Wireless (26.74%)
- Distributed computing (20.61%)
What were the highlights of her more recent work (between 2019-2021)?
- Mobile edge computing (8.36%)
- Distributed computing (20.61%)
- Benchmark (5.85%)
In recent papers she was focusing on the following fields of study:
Her primary scientific interests are in Mobile edge computing, Distributed computing, Benchmark, Transmitter power output and Resource allocation.
Her Distributed computing research is multidisciplinary, relying on both Small cell, Wireless network, Cloud computing and Cache.
Her Wireless network study frequently draws connections between adjacent fields such as Computer network.
Her Computer network study integrates concerns from other disciplines, such as Data integrity and Anonymity.
Her Benchmark research incorporates elements of Wireless and Iterative method.
As a member of one scientific family, she mostly works in the field of Resource allocation, focusing on Mathematical optimization and, on occasion, Efficient energy use, Fractional programming and Power control.
Between 2019 and 2021, her most popular works were:
- Energy-Efficient Resource Allocation for Secure NOMA-Enabled Mobile Edge Computing Networks (41 citations)
- Mobile Edge Computing in Unmanned Aerial Vehicle Networks (32 citations)
- Computation Efficiency Maximization in Wireless-Powered Mobile Edge Computing Networks (24 citations)
In her most recent research, the most cited papers focused on:
- Computer network
- Telecommunications
- The Internet
Rose Qingyang Hu mainly focuses on Telecommunications link, Mobile edge computing, Wireless network, Physical layer and Wireless.
Her studies in Telecommunications link integrate themes in fields like Radio frequency, Base station, Backscatter, Transmitter and Electronic engineering.
Her Wireless network study frequently links to related topics such as Computer network.
Rose Qingyang Hu has included themes like Data integrity and Anonymity in her Computer network study.
The Physical layer study combines topics in areas such as Cognitive radio, Communication channel and Cellular network.
Her study on Wireless also encompasses disciplines like
- Benchmark, which have a strong connection to Maximization and Resource allocation,
- Deep learning that intertwine with fields like Distributed computing, Bottleneck, Scheduling and Job shop scheduling,
- Upload which is related to area like Quantization.
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