His primary areas of study are Cognitive radio, Communication channel, Game theory, Real-time computing and Mathematical optimization. His Cognitive radio study necessitates a more in-depth grasp of Telecommunications. His Communication channel research incorporates elements of Throughput and Selection.
His Selection study integrates concerns from other disciplines, such as Stochastic process, Distributed computing and Strategy. His Real-time computing research is multidisciplinary, relying on both Base station and Sensor fusion. His study in the field of Potential game also crosses realms of Planar.
Cognitive radio, Communication channel, Mathematical optimization, Distributed computing and Computer network are his primary areas of study. In his research on the topic of Cognitive radio, Machine learning is strongly related with Artificial intelligence. His studies deal with areas such as Optimal stopping, Relay, Throughput and Selection as well as Communication channel.
His Mathematical optimization study which covers Small cell that intersects with Resource allocation. His biological study deals with issues like Telecommunications network, which deal with fields such as Transmission. The study incorporates disciplines such as Strategy, Theoretical computer science and Metric in addition to Potential game.
His primary scientific interests are in Communication channel, Algorithm, Selection, Real-time computing and Distributed computing. His study in Communication channel is interdisciplinary in nature, drawing from both Overhead, Key, Telecommunications network, Power management and Electronic engineering. The various areas that Qihui Wu examines in his Key study include Diversity gain and Power control.
His work deals with themes such as Matching, Convergence and Mathematical optimization, which intersect with Selection. In his work, Solid modeling is strongly intertwined with Smart city, which is a subfield of Real-time computing. Qihui Wu interconnects Exploit, Self-organization, Edge computing and Energy consumption in the investigation of issues within Distributed computing.
His main research concerns Communication channel, Distributed computing, Computer network, Energy consumption and Electronic engineering. The concepts of his Communication channel study are interwoven with issues in Distributed algorithm, Upload, Transmission and Telecommunications network. His Distributed computing research integrates issues from Edge computing and Mobile edge computing.
In general Computer network, his work in Mobile network operator is often linked to Resource management linking many areas of study. His Energy consumption study incorporates themes from Boosting, Energy, Real-time computing and Interval. Qihui Wu works mostly in the field of Electronic engineering, limiting it down to topics relating to Mimo relay and, in certain cases, Base station, as a part of the same area of interest.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
A survey of machine learning for big data processing
Junfei Qiu;Qihui Wu;Guoru Ding;Yuhua Xu.
EURASIP Journal on Advances in Signal Processing (2016)
Cognitive Internet of Things: A New Paradigm Beyond Connection
Qihui Wu;Guoru Ding;Yuhua Xu;Shuo Feng.
IEEE Internet of Things Journal (2014)
Opportunistic Spectrum Access in Unknown Dynamic Environment: A Game-Theoretic Stochastic Learning Solution
Yuhua Xu;Jinlong Wang;Qihui Wu;A. Anpalagan.
IEEE Transactions on Wireless Communications (2012)
Opportunistic Spectrum Access in Cognitive Radio Networks: Global Optimization Using Local Interaction Games
Yuhua Xu;Jinlong Wang;Qihui Wu;A. Anpalagan.
IEEE Journal of Selected Topics in Signal Processing (2012)
Spatial-Temporal Opportunity Detection for Spectrum-Heterogeneous Cognitive Radio Networks: Two-Dimensional Sensing
Qihui Wu;Guoru Ding;Jinlong Wang;Yu-Dong Yao.
IEEE Transactions on Wireless Communications (2013)
Decision-Theoretic Distributed Channel Selection for Opportunistic Spectrum Access: Strategies, Challenges and Solutions
Yuhua Xu;Alagan Anpalagan;Qihui Wu;Liang Shen.
IEEE Communications Surveys and Tutorials (2013)
An Amateur Drone Surveillance System Based on the Cognitive Internet of Things
Guoru Ding;Qihui Wu;Linyuan Zhang;Yun Lin.
IEEE Communications Magazine (2018)
Kernel-Based Learning for Statistical Signal Processing in Cognitive Radio Networks: Theoretical Foundations, Example Applications, and Future Directions
Guoru Ding;Qihui Wu;Yu-Dong Yao;Jinlong Wang.
IEEE Signal Processing Magazine (2013)
Byzantine Attack and Defense in Cognitive Radio Networks: A Survey
Linyuan Zhang;Guoru Ding;Qihui Wu;Yulong Zou.
IEEE Communications Surveys and Tutorials (2015)
Cellular-Base-Station-Assisted Device-to-Device Communications in TV White Space
Guoru Ding;Jinlong Wang;Qihui Wu;Yu-Dong Yao.
IEEE Journal on Selected Areas in Communications (2016)
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