154 citations · 680 across the 60 of their papers we have counts for
6 papers · 1 filter
Wireless Powered Communication Networks with Non-Ideal Circuit Power Consumption
Slavche Pejoski, Zoran Hadzi-Velkov, Trung Q. Duong +1
Assuming non-ideal circuit power consumption at the energy harvesting (EH) nodes, we propose two practical protocols that optimize the performance of the harvest-then-transmit wire…
Deep Reinforcement Learning for Intelligent Reflecting Surface-assisted D2D Communications
Khoi Khac Nguyen, Antonino Masaracchia, Cheng Yin +3
In this paper, we propose a deep reinforcement learning (DRL) approach for solving the optimisation problem of the network's sum-rate in device-to-device (D2D) communications suppo…
RIS-assisted UAV Communications for IoT with Wireless Power Transfer Using Deep Reinforcement Learning
Khoi Khac Nguyen, Antonino Masaracchia, Tan Do-Duy +2
Many of the devices used in Internet-of-Things (IoT) applications are energy-limited, and thus supplying energy while maintaining seamless connectivity for IoT devices is of consid…
FedFog: Network-Aware Optimization of Federated Learning over Wireless Fog-Cloud Systems
Van-Dinh Nguyen, Symeon Chatzinotas, Bjorn Ottersten +1
Federated learning (FL) is capable of performing large distributed machine learning tasks across multiple edge users by periodically aggregating trained local parameters. To addres…
3D UAV Trajectory and Data Collection Optimisation via Deep Reinforcement Learning
Khoi Khac Nguyen, Trung Q. Duong, Tan Do-Duy +2
Unmanned aerial vehicles (UAVs) are now beginning to be deployed for enhancing the network performance and coverage in wireless communication. However, due to the limitation of the…
Reconfigurable Intelligent Surface-assisted Multi-UAV Networks: Efficient Resource Allocation with Deep Reinforcement Learning
Khoi Khac Nguyen, Saeed Khosravirad, Daniel Benevides da Costa +2
In this paper, we propose reconfigurable intelligent surface (RIS)-assisted unmanned aerial vehicles (UAVs) networks that can utilise both advantages of UAV's agility and RIS's ref…