91 citations · 100 across the 5 of their papers we have counts for
5 papers
Joint Task Offloading and Resource Optimization in NOMA-based Vehicular Edge Computing: A Game-Theoretic DRL Approach
Xincao Xu, Kai Liu, Penglin Dai +4
Vehicular edge computing (VEC) becomes a promising paradigm for the development of emerging intelligent transportation systems. Nevertheless, the limited resources and massive tran…
On Jointly Optimizing Partial Offloading and SFC Mapping: A Cooperative Dual-agent Deep Reinforcement Learning Approach
Xinhan Wang, Huanlai Xing, Fuhong Song +3
Multi-access edge computing (MEC) and network function virtualization (NFV) are promising technologies to support emerging IoT applications, especially those computation-intensive.…
Evolutionary Multi-Objective Reinforcement Learning Based Trajectory Control and Task Offloading in UAV-Assisted Mobile Edge Computing
Fuhong Song, Huanlai Xing, Xinhan Wang +4
This paper studies the trajectory control and task offloading (TCTO) problem in an unmanned aerial vehicle (UAV)-assisted mobile edge computing system, where a UAV flies along a pl…
RTFN: A Robust Temporal Feature Network for Time Series Classification
Zhiwen Xiao, Xin Xu, Huanlai Xing +3
Time series data usually contains local and global patterns. Most of the existing feature networks pay more attention to local features rather than the relationships among them. Th…
STDPG: A Spatio-Temporal Deterministic Policy Gradient Agent for Dynamic Routing in SDN
Juan Chen, Zhiwen Xiao, Huanlai Xing +3
Dynamic routing in software-defined networking (SDN) can be viewed as a centralized decision-making problem. Most of the existing deep reinforcement learning (DRL) agents can addre…