F. Richard Yu mainly focuses on Computer network, Wireless, Wireless network, Distributed computing and Resource management. His Computer network research integrates issues from Cognitive radio, Efficient energy use and Radio resource management. F. Richard Yu combines subjects such as Stackelberg competition, Energy consumption, Base station and Cache with his study of Efficient energy use.
F. Richard Yu has researched Wireless in several fields, including Network topology, Cellular network, Interference alignment and Communication channel. F. Richard Yu has included themes like Interference, Virtualization, Channel state information and Physical layer in his Wireless network study. His Distributed computing research is multidisciplinary, incorporating elements of Resource allocation, Computation offloading, Mobile edge computing, Optimization problem and Reinforcement learning.
F. Richard Yu focuses on Computer network, Distributed computing, Wireless, Wireless network and Resource allocation. F. Richard Yu interconnects Wireless ad hoc network, Throughput and Radio resource management in the investigation of issues within Computer network. His studies in Distributed computing integrate themes in fields like Optimization problem, Edge computing, Mobile computing and Mobile edge computing.
The concepts of his Wireless study are interwoven with issues in Energy consumption, Relay, Communication channel, Efficient energy use and Reinforcement learning. The Wireless network study combines topics in areas such as Virtualization, Channel state information and Interference alignment. His Resource allocation research incorporates themes from Distributed algorithm and Cellular network.
His primary scientific interests are in Distributed computing, Computer network, Wireless, Reinforcement learning and Edge computing. The Distributed computing study combines topics in areas such as Resource allocation, Server and Blockchain. F. Richard Yu interconnects Throughput and Vehicular ad hoc network in the investigation of issues within Computer network.
His Wireless research is mostly focused on the topic Wireless network. The concepts of his Reinforcement learning study are interwoven with issues in Latency, Cache, Enhanced Data Rates for GSM Evolution, Markov decision process and Optimization problem. His research integrates issues of Computer security, Network architecture, Quality of experience and Service in his study of Edge computing.
F. Richard Yu mainly investigates Reinforcement learning, Distributed computing, Wireless, Computer network and Mobile edge computing. His Reinforcement learning research integrates issues from Scalability, Markov decision process and Markov chain. The various areas that F. Richard Yu examines in his Distributed computing study include Edge computing, Enhanced Data Rates for GSM Evolution, Resource and Next Generation Mobile Networks.
F. Richard Yu is interested in Wireless network, which is a branch of Wireless. The Protocol research he does as part of his general Computer network study is frequently linked to other disciplines of science, such as Control system security, therefore creating a link between diverse domains of science. His research in Mobile edge computing focuses on subjects like Resource allocation, which are connected to Mathematical optimization and Quality of service.
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.
Introduction to Machine Learning
F. Richard Yu;Ying He.
Wireless Network Virtualization: A Survey, Some Research Issues and Challenges
Chengchao Liang;F. Richard Yu.
IEEE Communications Surveys and Tutorials (2015)
Software-Defined Networking (SDN) and Distributed Denial of Service (DDoS) Attacks in Cloud Computing Environments: A Survey, Some Research Issues, and Challenges
Qiao Yan;F. Richard Yu;Qingxiang Gong;Jianqiang Li.
IEEE Communications Surveys and Tutorials (2016)
Computation Offloading and Resource Allocation in Wireless Cellular Networks With Mobile Edge Computing
Chenmeng Wang;Chengchao Liang;F. Richard Yu;Qianbin Chen.
IEEE Transactions on Wireless Communications (2017)
In-Band Full-Duplex Relaying: A Survey, Research Issues and Challenges
Gang Liu;F. Richard Yu;Hong Ji;Victor C. M. Leung.
IEEE Communications Surveys and Tutorials (2015)
When the Smart Grid Meets Energy-Efficient Communications: Green Wireless Cellular Networks Powered by the Smart Grid
Shengrong Bu;F. Richard Yu;Yegui Cai;Xiaoping P. Liu.
IEEE Transactions on Wireless Communications (2012)
When big data meets software-defined networking: SDN for big data and big data for SDN
Laizhong Cui;F. Richard Yu;Qiao Yan.
IEEE Network (2016)
Prediction-Based Topology Control and Routing in Cognitive Radio Mobile Ad Hoc Networks
Quansheng Guan;F. Richard Yu;Shengming Jiang.
conference on computer communications workshops (2010)
Dynamic Resource Allocation for Heterogeneous Services in Cognitive Radio Networks With Imperfect Channel Sensing
Renchao Xie;F. Richard Yu;Hong Ji.
IEEE Transactions on Vehicular Technology (2012)
Cross-Layer Design for TCP Performance Improvement in Cognitive Radio Networks
Changqing Luo;F Richard Yu;Hong Ji;Victor C M Leung.
IEEE Transactions on Vehicular Technology (2010)
Profile was last updated on December 6th, 2021.
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