1.3k citations · 2.7k across the 14 of their papers we have counts for
14 papers
Joint Communication and Sensing: Models and Potential of Using MIMO
Xinran Fang, Wei Feng, Yunfei Chen +2
The sixth-generation (6G) network is envisioned to integrate communication and sensing functions, so as to improve the spectrum efficiency (SE) and support explosive novel applicat…
A Joint Energy and Latency Framework for Transfer Learning over 5G Industrial Edge Networks
Bo Yang, Omobayode Fagbohungbe, Xuelin Cao +4
In this paper, we propose a transfer learning (TL)-enabled edge-CNN framework for 5G industrial edge networks with privacy-preserving characteristic. In particular, the edge server…
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…
UAV Communications for 5G and Beyond: Recent Advances and Future Trends
Bin Li, Zesong Fei, Yan Zhang
Providing ubiquitous connectivity to diverse device types is the key challenge for 5G and beyond 5G (B5G). Unmanned aerial vehicles (UAVs) are expected to be an important component…
Local Cyber-Physical Attack for Masking Line Outage and Topology Attack in Smart Grid
Hwei-Ming Chung, Wen-Tai Li, Chau Yuen +3
Malicious attacks in the power system can eventually result in a large-scale cascade failure if not attended on time. These attacks, which are traditionally classified into \emph{p…
A Survey on Mobile Edge Networks: Convergence of Computing, Caching and Communications
Shuo Wang, Xing Zhang, Yan Zhang +3
As the explosive growth of smart devices and the advent of many new applications, traffic volume has been growing exponentially. The traditional centralized network architecture ca…