74 citations · 366 across the 44 of their papers we have counts for
10 papers · 1 filter
Energy Efficient Robust Beamforming and Cooperative Jamming Design for IRS-Assisted MISO Networks
Qun Wang, Fuhui Zhou, Rose Qingyang Hu +1
Energy-efficient design and secure communications are of crucial importance in wireless communication networks. However, the energy efficiency achieved by using physical layer secu…
Multi-Agent Deep Reinforcement Learning enabled Computation Resource Allocation in a Vehicular Cloud Network
Shilin Xu, Caili Guo, Rose Qingyang Hu +1
In this paper, we investigate the computational resource allocation problem in a distributed Ad-Hoc vehicular network with no centralized infrastructure support. To support the eve…
Scheduling Policy and Power Allocation for Federated Learning in NOMA Based MEC
Xiang Ma, Haijian Sun, Rose Qingyang Hu
Federated learning (FL) is a highly pursued machine learning technique that can train a model centrally while keeping data distributed. Distributed computation makes FL attractive…
User Preference Learning-Aided Collaborative Edge Caching for Small Cell Networks
Md Ferdous Pervej, Le Thanh Tan, Rose Qingyang Hu
While next-generation wireless communication networks intend leveraging edge caching for enhanced spectral efficiency, quality of service, end-to-end latency, content sharing cost,…
Artificial Intelligence Assisted Collaborative Edge Caching in Small Cell Networks
Md Ferdous Pervej, Le Thanh Tan, Rose Qingyang Hu
Edge caching is a new paradigm that has been exploited over the past several years to reduce the load for the core network and to enhance the content delivery performance. Many exi…
Robust Trajectory and Transmit Power Optimization for Secure UAV-Enabled Cognitive Radio Networks
Yifan Zhou, Fuhui Zhou, Huilin Zhou +2
Cognitive radio is a promising technology to improve spectral efficiency. However, the secure performance of a secondary network achieved by using physical layer security technique…
Towards Green Mobile Edge Computing Offloading Systems with Security Enhancement
Haijian Sun, Qun Wang, Xiang Ma +2
Mobile edge computing (MEC) is an emerging communication scheme that aims at reducing latency. In this paper, we investigate a green MEC system under the existence of an eavesdropp…
A Machine Learning Based Framework for the Smart Healthcare Monitoring
Abrar Zahin, Le Thanh Tan, Rose Qingyang Hu
In this paper, we propose a novel framework for the smart healthcare system, where we employ the compressed sensing (CS) and the combination of the state-of-the-art machine learnin…
Adaptive Federated Learning With Gradient Compression in Uplink NOMA
Haijian Sun, Xiang Ma, Rose Qingyang Hu
Federated learning (FL) is an emerging machine learning technique that aggregates model attributes from a large number of distributed devices. Several unique features such as energ…
Computation Efficiency Maximization in Wireless-Powered Mobile Edge Computing Networks
Fuhui Zhou, Rose Qingyang Hu
Energy-efficient computation is an inevitable trend for mobile edge computing (MEC) networks. Resource allocation strategies for maximizing the computation efficiency are criticall…