The scientist’s investigation covers issues in Computer network, Communication channel, Big data, Wireless and Vehicular ad hoc network. The concepts of his Computer network study are interwoven with issues in Channel state information and Throughput. Haibo Zhou works mostly in the field of Communication channel, limiting it down to topics relating to Scheduling and, in certain cases, Frequency allocation, Energy harvesting, Transmission time, Resource allocation and Data transmission, as a part of the same area of interest.
His Big data research includes elements of Telecommunications, Telematics and Communications protocol. His Vehicular ad hoc network research focuses on Vehicle dynamics and how it connects with Wireless sensor network. His studies in Cellular network integrate themes in fields like Backhaul, Edge computing, Distributed computing and Mobile edge computing.
Computer network, Wireless, Distributed computing, Vehicular ad hoc network and Resource management are his primary areas of study. The study incorporates disciplines such as Vehicular communication systems, Throughput and Communication channel in addition to Computer network. His research in Communication channel intersects with topics in Wireless sensor network, Network utility and Telecommunications link.
His work in Wireless covers topics such as Base station which are related to areas like Real-time computing and Relay. His Distributed computing research integrates issues from Scheduling, Optimization problem, Edge computing, Server and Reinforcement learning. The Vehicular ad hoc network study combines topics in areas such as Ad hoc wireless distribution service and Communications protocol.
His primary areas of study are Computer network, Distributed computing, Wireless, Reinforcement learning and Intelligent transportation system. In the subject of general Computer network, his work in Cellular network, Telecommunications link and Base station is often linked to Radio access network, thereby combining diverse domains of study. Haibo Zhou has included themes like Wireless sensor network, Beamforming and Communication channel in his Telecommunications link study.
His Distributed computing study incorporates themes from Edge computing and Cellular communication. His studies deal with areas such as Quality of service and Smart city as well as Wireless. His research investigates the connection with Reinforcement learning and areas like Throughput which intersect with concerns in Frame, Link adaptation, Vehicular ad hoc network and Information exchange.
Haibo Zhou mainly investigates Distributed computing, Edge computing, Reinforcement learning, Orchestration and Wireless. Haibo Zhou regularly ties together related areas like Cellular network in his Edge computing studies. His Reinforcement learning study integrates concerns from other disciplines, such as Swarm intelligence, Optimization problem and Enhanced Data Rates for GSM Evolution.
His study focuses on the intersection of Wireless and fields such as Wireless sensor network with connections in the field of Communication channel. In his study, Real-time computing, Beacon, Reliability and Greedy algorithm is inextricably linked to Bandwidth, which falls within the broad field of Communication channel. He has researched Greedy algorithm in several fields, including Forwarding plane, Wireless ad hoc network, Vehicular ad hoc network and OpenFlow.
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Internet of vehicles in big data era
Wenchao Xu;Haibo Zhou;Nan Cheng;Feng Lyu.
IEEE/CAA Journal of Automatica Sinica (2018)
Big Data Driven Vehicular Networks
Nan Cheng;Feng Lyu;Jiayin Chen;Wenchao Xu.
IEEE Network (2018)
Air-Ground Integrated Mobile Edge Networks: Architecture, Challenges, and Opportunities
Nan Cheng;Wenchao Xu;Weisen Shi;Yi Zhou.
IEEE Communications Magazine (2018)
Evolutionary V2X Technologies Toward the Internet of Vehicles: Challenges and Opportunities
Haibo Zhou;Wenchao Xu;Jiacheng Chen;Wei Wang.
Proceedings of the IEEE (2020)
Energy-Harvesting-Aided Spectrum Sensing and Data Transmission in Heterogeneous Cognitive Radio Sensor Network
Deyu Zhang;Zhigang Chen;Ju Ren;Ning Zhang.
IEEE Transactions on Vehicular Technology (2017)
Toward Efficient Content Delivery for Automated Driving Services: An Edge Computing Solution
Quan Yuan;Haibo Zhou;Jinglin Li;Zhihan Liu.
IEEE Network (2018)
Drone Assisted Vehicular Networks: Architecture, Challenges and Opportunities
Weisen Shi;Haibo Zhou;Junling Li;Wenchao Xu.
IEEE Network (2018)
Utility-Optimal Resource Management and Allocation Algorithm for Energy Harvesting Cognitive Radio Sensor Networks
Deyu Zhang;Zhigang Chen;Mohamad Khattar Awad;Ning Zhang.
IEEE Journal on Selected Areas in Communications (2016)
ChainCluster: Engineering a Cooperative Content Distribution Framework for Highway Vehicular Communications
Haibo Zhou;Bo Liu;Tom H. Luan;Fen Hou.
IEEE Transactions on Intelligent Transportation Systems (2014)
A novel stable selection and reliable transmission protocol for clustered heterogeneous wireless sensor networks
Haibo Zhou;Yuanming Wu;Yanqi Hu;Guangzhong Xie.
Computer Communications (2010)
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