May 13, 2021 · In this paper, we design a separated UAV-assisted WPCN system, where two UAVs are deployed to behave as a UAV data collector (UAV-DC) and UAV energy ...
Simulation results show that our system enhances the performance of our strategy significantly in terms of AoI and energy transfer compared with baseline ...
Simulation results show that our system enhances the performance of our strategy significantly in terms of AoI and energy transfer compared with baseline ...
Multi-UAV-enabled AoI-aware WPCN: A Multi-agent Reinforcement Learning Strategy ... Age-of-Information based Multi-UAV Trajectories Using Deep Reinforcement ...
Alhakami, "Multi-UAV-enabled AoI-aware WPCN: A Multi-agent Reinforcement Learning Strategy", in Proc.IEEE Conference on Computer Communications Workshops ...
Oct 3, 2024 · This paper studies an unmanned aerial vehicle (UAV)-enabled wireless powered mobile edge computing (MEC) system.
This paper proposes a novel design on the wireless powered communication network (WPCN) in dynamic environments under the assistance of multiple unmanned ...
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Oct 18, 2024 · This study aims to minimize the Age of Information (AoI) during data collection, while also considering the energy sustainability of the UAVs.
Multi-uav-enabled aoi-aware wpcn: a multi-agent reinforcement learning strategy. R.A. Nazib et al. Energy-efficient and fast data collection in UAV-aided ...
Mar 2, 2023 · To address the challenges of this problem, we propose a multi-agent Deep Reinforcement Learning (DRL)-based algorithm with centralized learning ...