What is he best known for?
The fields of study he is best known for:
- Computer network
- Telecommunications
- Artificial intelligence
Zhisheng Niu spends much of his time researching Computer network, Cellular network, Base station, Energy consumption and Wireless.
His Computer network study frequently intersects with other fields, such as Mobile telephony.
His Cellular network research is multidisciplinary, incorporating elements of Distributed computing, Energy, Real-time computing, Mathematical optimization and Efficient energy use.
His Base station research incorporates themes from Overhead, Transmitter power output and Traffic intensity.
His studies deal with areas such as Energy conservation, Sleep mode, Blocking and Queue as well as Energy consumption.
He interconnects Testbed, Energy harvesting and Communication channel in the investigation of issues within Wireless.
His most cited work include:
- Cell zooming for cost-efficient green cellular networks (644 citations)
- Toward dynamic energy-efficient operation of cellular network infrastructure (477 citations)
- TANGO: traffic-aware network planning and green operation (167 citations)
What are the main themes of his work throughout his whole career to date?
Zhisheng Niu mainly investigates Computer network, Wireless, Distributed computing, Base station and Communication channel.
Zhisheng Niu has included themes like Wireless network and Throughput in his Computer network study.
His study looks at the intersection of Wireless and topics like Energy harvesting with Renewable energy.
Zhisheng Niu studied Distributed computing and Wireless ad hoc network that intersect with Mobile ad hoc network.
The Base station study combines topics in areas such as Cellular network, Real-time computing, Blocking and Heterogeneous network.
His research in Cellular network focuses on subjects like Energy consumption, which are connected to Efficient energy use.
He most often published in these fields:
- Computer network (53.90%)
- Wireless (23.43%)
- Distributed computing (21.90%)
What were the highlights of his more recent work (between 2016-2021)?
- Distributed computing (21.90%)
- Wireless (23.43%)
- Scheduling (16.95%)
In recent papers he was focusing on the following fields of study:
His primary areas of investigation include Distributed computing, Wireless, Scheduling, Communication channel and Computer network.
His research on Distributed computing also deals with topics like
- Computation offloading, which have a strong connection to Shared resource and Energy consumption,
- Service and Reliability most often made with reference to Function.
His work deals with themes such as Wireless network, Mathematical optimization and Metric, which intersect with Scheduling.
His Mathematical optimization research focuses on subjects like Efficient energy use, which are linked to Power control and Optimization problem.
The study incorporates disciplines such as Bandwidth allocation, Real-time computing, Overhead and Network topology in addition to Communication channel.
His work on Network packet, Random access, Base station and Quality of service as part of general Computer network study is frequently connected to Information Age, therefore bridging the gap between diverse disciplines of science and establishing a new relationship between them.
Between 2016 and 2021, his most popular works were:
- Tasks scheduling and resource allocation in heterogeneous cloud for delay-bounded mobile edge computing (65 citations)
- Adaptive Learning-Based Task Offloading for Vehicular Edge Computing Systems (61 citations)
- Can Decentralized Status Update Achieve Universally Near-Optimal Age-of-Information in Wireless Multiaccess Channels? (60 citations)
In his most recent research, the most cited papers focused on:
- Computer network
- Telecommunications
- Artificial intelligence
His scientific interests lie mostly in Distributed computing, Wireless, Scheduling, Communication channel and Computer network.
His Distributed computing research includes themes of Edge device, Quality of service, Computation offloading, Task and Function.
His Wireless study also includes
- Task analysis and related Network topology,
- Deep learning which is related to area like Wireless ad hoc network.
His Scheduling research integrates issues from Mathematical optimization and Server.
His research in Communication channel intersects with topics in Computational complexity theory, Wireless sensor network, Markov decision process and Cyber-physical system.
The concepts of his Computer network study are interwoven with issues in Wireless network and Mobile telephony.
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