What is he best known for?
The fields of study he is best known for:
- Computer network
- Telecommunications
- Artificial intelligence
Haijun Zhang mainly focuses on Computer network, Resource allocation, Wireless, Optimization problem and Handover.
His studies deal with areas such as Mobile telephony and Radio resource management as well as Computer network.
He interconnects Distributed computing, Orthogonal frequency-division multiple access, Telecommunications link and Base station in the investigation of issues within Resource allocation.
His biological study deals with issues like Channel state information, which deal with fields such as Scheduling and Wireless network.
His research integrates issues of Cellular network and Communication channel in his study of Wireless.
His Handover research incorporates elements of Network architecture and Quality of service.
His most cited work include:
- Machine Learning Paradigms for Next-Generation Wireless Networks (573 citations)
- Network Slicing Based 5G and Future Mobile Networks: Mobility, Resource Management, and Challenges (387 citations)
- Coexistence of Wi-Fi and heterogeneous small cell networks sharing unlicensed spectrum (337 citations)
What are the main themes of his work throughout his whole career to date?
Haijun Zhang mostly deals with Computer network, Resource allocation, Wireless, Telecommunications link and Distributed computing.
His research in Computer network intersects with topics in Wireless network and Mobile telephony.
His work deals with themes such as Optimization problem, Orthogonal frequency-division multiple access, Communication channel and Power control, which intersect with Resource allocation.
His Telecommunications link study combines topics in areas such as Scheduling, Channel state information, Spectral efficiency and Single antenna interference cancellation.
His Distributed computing study incorporates themes from Noma and Heterogeneous network.
The various areas that Haijun Zhang examines in his Quality of service study include Handover and Radio resource management.
He most often published in these fields:
- Computer network (42.86%)
- Resource allocation (30.45%)
- Wireless (20.68%)
What were the highlights of his more recent work (between 2019-2021)?
- Resource allocation (30.45%)
- Distributed computing (18.80%)
- Wireless (20.68%)
In recent papers he was focusing on the following fields of study:
His primary scientific interests are in Resource allocation, Distributed computing, Wireless, Noma and Computer network.
His Resource allocation study integrates concerns from other disciplines, such as Computational complexity theory, Wireless network and Power optimization.
The study incorporates disciplines such as Optimization problem and Reinforcement learning in addition to Wireless network.
His Distributed computing research is multidisciplinary, incorporating perspectives in Network architecture, Artificial neural network, Quality of service, Computation offloading and Server.
His work on Heterogeneous network is typically connected to Traffic congestion as part of general Wireless study, connecting several disciplines of science.
Computer network is closely attributed to Throughput in his work.
Between 2019 and 2021, his most popular works were:
- Thirty Years of Machine Learning: The Road to Pareto-Optimal Wireless Networks (103 citations)
- Energy Efficient Resource Management in SWIPT Enabled Heterogeneous Networks With NOMA (28 citations)
- Computation-Efficient Offloading and Trajectory Scheduling for Multi-UAV Assisted Mobile Edge Computing (20 citations)
In his most recent research, the most cited papers focused on:
- Computer network
- Telecommunications
- Artificial intelligence
His primary areas of study are Distributed computing, Resource allocation, Power optimization, Wireless and Scheduling.
Haijun Zhang combines subjects such as Artificial neural network and Wireless network with his study of Distributed computing.
His Resource allocation research entails a greater understanding of Computer network.
His Power optimization study combines topics from a wide range of disciplines, such as Optimization problem, Electronic engineering and Small cell.
His Small cell research is multidisciplinary, incorporating elements of Energy harvesting, Telecommunications link and Bandwidth.
His Wireless research is multidisciplinary, relying on both Quality of service and Power control.
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