1.3k citations · 2.7k across the 14 of their papers we have counts for
9 papers · 1 filter
Deep Reinforcement Learning and Permissioned Blockchain for Content Caching in Vehicular Edge Computing and Networks
Yueyue Dai, Du Xu, Ke Zhang +2
Vehicular Edge Computing (VEC) is a promising paradigm to enable huge amount of data and multimedia content to be cached in proximity to vehicles. However, high mobility of vehicle…
Edge Intelligence for Energy-efficient Computation Offloading and Resource Allocation in 5G Beyond
Yueyue Dai, Ke Zhang, Sabita Maharjan +1
5G beyond is an end-edge-cloud orchestrated network that can exploit heterogeneous capabilities of the end devices, edge servers, and the cloud and thus has the potential to enable…
Deep Reinforcement Learning for Stochastic Computation Offloading in Digital Twin Networks
Yueyue Dai, Ke Zhang, Sabita Maharjan +1
The rapid development of Industrial Internet of Things (IIoT) requires industrial production towards digitalization to improve network efficiency. Digital Twin is a promising techn…
Low-latency Federated Learning and Blockchain for Edge Association in Digital Twin empowered 6G Networks
Yunlong Lu, Xiaohong Huang, Ke Zhang +2
Emerging technologies such as digital twins and 6th Generation mobile networks (6G) have accelerated the realization of edge intelligence in Industrial Internet of Things (IIoT). T…
Adaptive Federated Learning and Digital Twin for Industrial Internet of Things
Wen Sun, Shiyu Lei, Lu Wang +2
Industrial Internet of Things (IoT) enables distributed intelligent services varying with the dynamic and realtime industrial devices to achieve Industry 4.0 benefits. In this pape…
Edge Intelligence Empowered UAVs for Automated Wind Farm Monitoring in Smart Grids
Hwei-Ming Chung, Sabita Maharjan, Yan Zhang +2
With the exploitation of wind power, more turbines will be deployed at remote areas possibly with harsh working conditions (e.g., offshore wind farm). The adverse working environme…
Distributed Deep Reinforcement Learning for Intelligent Load Scheduling in Residential Smart Grids
Hwei-Ming Chung, Sabita Maharjan, Yan Zhang +1
The power consumption of households has been constantly growing over the years. To cope with this growth, intelligent management of the consumption profile of the households is nec…
Intelligent Charging Management of Electric Vehicles Considering Dynamic User Behavior and Renewable Energy: A Stochastic Game Approach
Hwei-Ming Chung, Sabita Maharjan, Yan Zhang +1
Uncoordinated charging of a rapidly growing number of electric vehicles (EVs) and the uncertainty associated with renewable energy resources may constitute a critical issue for the…
Placement and Routing Optimization for Automated Inspection with UAVs: A Study in Offshore Wind Farm
Hwei-Ming Chung, Sabita Maharjan, Yan Zhang +2
Wind power is a clean and widely deployed alternative to reducing our dependence on fossil fuel power generation. Under this trend, more turbines will be installed in wind farms. H…