Yong Ren spends much of his time researching Computer network, Computer security, Wireless, Distributed computing and Cognitive radio. His research in Computer network intersects with topics in Incentive compatibility and Communication channel. His Computer security research is multidisciplinary, incorporating perspectives in Handover and Big data.
Yong Ren has researched Distributed computing in several fields, including Node, Wireless ad hoc network, Vehicular ad hoc network and Cloud computing. His biological study deals with issues like Active learning, which deal with fields such as Wireless network. His Wireless network research includes elements of Instance-based learning and Computational learning theory.
His scientific interests lie mostly in Computer network, Distributed computing, Wireless network, Wireless and Base station. His Computer network study often links to related topics such as Cognitive radio. His Distributed computing study also includes
He combines subjects such as Machine learning and Artificial intelligence with his study of Wireless network. He works mostly in the field of Network topology, limiting it down to topics relating to Complex network and, in certain cases, The Internet, as a part of the same area of interest. His research in Cellular network tackles topics such as Mobile computing which are related to areas like Mobility model.
His primary areas of study are Distributed computing, Base station, Computer network, Resource management and Real-time computing. His Distributed computing research includes themes of Resource allocation, Quality of service, Computation offloading, Throughput and Cloud computing. His Base station research integrates issues from Cellular network, Double auction, Telecommunications network, Heterogeneous network and Multicast.
His work carried out in the field of Heterogeneous network brings together such families of science as Machine learning, Artificial intelligence and Macrocell. His Computer network study integrates concerns from other disciplines, such as Wireless and Allocative efficiency. Yong Ren has researched Real-time computing in several fields, including Node, Software deployment, Network architecture and Vehicular ad hoc network.
Yong Ren mostly deals with Distributed computing, Resource management, Cellular network, Base station and Cloud computing. The Distributed computing study combines topics in areas such as Control system, Quality of service and Computation offloading, Edge computing. His Cellular network research is classified as research in Computer network.
His work carried out in the field of Computer network brings together such families of science as Wireless, Allocative efficiency, Double auction and Spectrum sharing. His Cloud computing research integrates issues from Stability, The Internet and Big data. While the research belongs to areas of Computer security, Yong Ren spends his time largely on the problem of Social network, intersecting his research to questions surrounding Service, Machine learning and Artificial intelligence.
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Machine Learning Paradigms for Next-Generation Wireless Networks
Chunxiao Jiang;Haijun Zhang;Yong Ren;Zhu Han.
IEEE Wireless Communications (2017)
Information Security in Big Data: Privacy and Data Mining
Lei Xu;Chunxiao Jiang;Jian Wang;Jian Yuan.
IEEE Access (2014)
Taking Drones to the Next Level: Cooperative Distributed Unmanned-Aerial-Vehicular Networks for Small and Mini Drones
Jingjing Wang;Chunxiao Jiang;Zhu Han;Yong Ren.
IEEE Vehicular Technology Magazine (2017)
Renewal-theoretical dynamic spectrum access in cognitive radio network with unknown primary behavior
Chunxiao Jiang;Yan Chen;K.J. Ray Liu;Yong Ren.
IEEE Journal on Selected Areas in Communications (2013)
A linear feedback synchronization theorem for a class of chaotic systems
Feng Liu;Yong Ren;Xiuming Shan;Zulian Qiu.
Chaos Solitons & Fractals (2002)
Does BTLE measure up against WiFi? A comparison of indoor location performance
Xiaojie Zhao;Zhuoling Xiao;Andrew Markham;Niki Trigoni.
european wireless conference (2014)
Game theory models for IEEE 802.11 DCF in wireless ad hoc networks
Yongkang Xiao;Xiuming Shan;Yong Ren.
IEEE Communications Magazine (2005)
Thirty Years of Machine Learning: The Road to Pareto-Optimal Wireless Networks
Jingjing Wang;Chunxiao Jiang;Haijun Zhang;Yong Ren.
IEEE Communications Surveys and Tutorials (2020)
Energy-efficient non-cooperative cognitive radio networks: micro, meso, and macro views
Chunxiao Jiang;Haijun Zhang;Yong Ren;Hsiao-Hwa Chen.
IEEE Communications Magazine (2014)
Energy-Efficient Computation Offloading for Secure UAV-Edge-Computing Systems
Tong Bai;Jingjing Wang;Yong Ren;Lajos Hanzo.
IEEE Transactions on Vehicular Technology (2019)
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