Yusheng Ji mainly investigates Computer network, Distributed computing, Wireless, Network packet and Vehicular ad hoc network. The study of Computer network is intertwined with the study of Wireless ad hoc network in a number of ways. His studies in Distributed computing integrate themes in fields like Cluster analysis, Mobile computing, Mobile device and Mobile edge computing.
In general Wireless, his work in Throughput is often linked to Noise measurement linking many areas of study. His biological study spans a wide range of topics, including Multiprotocol Label Switching, Control reconfiguration and Logical topology. His studies deal with areas such as Mobile radio and Real time video as well as Vehicular ad hoc network.
Yusheng Ji mainly focuses on Computer network, Distributed computing, Network packet, Real-time computing and Wireless. The concepts of his Computer network study are interwoven with issues in Wireless ad hoc network and Vehicular ad hoc network. Yusheng Ji interconnects Wireless Routing Protocol, Routing protocol, Scheduling, Edge computing and Server in the investigation of issues within Distributed computing.
His Real-time computing research is multidisciplinary, incorporating elements of Transmission and Video quality. Wireless and Communication channel are frequently intertwined in his study. His work investigates the relationship between Resource allocation and topics such as Throughput that intersect with problems in Orthogonal frequency-division multiplexing.
His primary areas of study are Distributed computing, Computer network, Edge computing, Real-time computing and Mobile edge computing. The Distributed computing study combines topics in areas such as Markov decision process, Enhanced Data Rates for GSM Evolution, Server and Reinforcement learning. His Computer network study frequently intersects with other fields, such as Vehicular ad hoc network.
The various areas that Yusheng Ji examines in his Edge computing study include Wireless, Optimization problem and Resource allocation. His work carried out in the field of Real-time computing brings together such families of science as Point cloud and Video quality. His work deals with themes such as Scheduling, Mobile device and Mobile computing, which intersect with Mobile edge computing.
The scientist’s investigation covers issues in Computer network, Mobile edge computing, Distributed computing, Vehicular ad hoc network and Wireless. His Computer network study typically links adjacent topics like Edge computing. His research investigates the connection between Mobile edge computing and topics such as Scheduling that intersect with issues in Cellular network.
His Distributed computing research is multidisciplinary, incorporating elements of Time complexity, Quality of service, Mobile device and Reinforcement learning. His IEEE 802.11p study, which is part of a larger body of work in Vehicular ad hoc network, is frequently linked to Collaborative learning, Drone and Terrain, bridging the gap between disciplines. His studies in Wireless integrate themes in fields like Wireless sensor network, CHAOS, Communication channel and Big data.
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RF-Sensing of Activities from Non-Cooperative Subjects in Device-Free Recognition Systems Using Ambient and Local Signals
Stephan Sigg;Markus Scholz;Shuyu Shi;Yusheng Ji.
IEEE Transactions on Mobile Computing (2014)
Optimized Computation Offloading Performance in Virtual Edge Computing Systems Via Deep Reinforcement Learning
Xianfu Chen;Honggang Zhang;Celimuge Wu;Shiwen Mao.
IEEE Internet of Things Journal (2019)
Multi-User Computation Partitioning for Latency Sensitive Mobile Cloud Applications
Lei Yang;Jiannong Cao;Hui Cheng;Yusheng Ji.
IEEE Transactions on Computers (2015)
AVE: Autonomous Vehicular Edge Computing Framework with ACO-Based Scheduling
Jingyun Feng;Zhi Liu;Celimuge Wu;Yusheng Ji.
IEEE Transactions on Vehicular Technology (2017)
A Dedicated Multi-Channel MAC Protocol Design for VANET with Adaptive Broadcasting
Ning Lu;Yusheng Ji;Fuqiang Liu;Xinhong Wang.
wireless communications and networking conference (2010)
The Evolution of Sink Mobility Management in Wireless Sensor Networks: A Survey
Yu Gu;Fuji Ren;Yusheng Ji;Jie Li.
IEEE Communications Surveys and Tutorials (2016)
Power Control in D2D-Based Vehicular Communication Networks
Yi Ren;Fuqiang Liu;Zhi Liu;Chao Wang.
IEEE Transactions on Vehicular Technology (2015)
ESWC: Efficient Scheduling for the Mobile Sink in Wireless Sensor Networks with Delay Constraint
Yu Gu;Yusheng Ji;Jie Li;Baohua Zhao.
IEEE Transactions on Parallel and Distributed Systems (2013)
Leveraging RF-channel fluctuation for activity recognition: Active and passive systems, continuous and RSSI-based signal features
Stephan Sigg;Shuyu Shi;Felix Buesching;Yusheng Ji.
advances in mobile multimedia (2013)
Resource allocation using particle swarm optimization for D2D communication underlay of cellular networks
Lin Su;Yusheng Ji;Ping Wang;Fuqiang Liu.
wireless communications and networking conference (2013)
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