Optimal 3D-trajectory design and resource allocation for solar-powered UAV communication systems
In this paper, we investigate the resource allocation algorithm design for multicarrier solar-
powered unmanned aerial vehicle (UAV) communication systems. In particular, the UAV is …
powered unmanned aerial vehicle (UAV) communication systems. In particular, the UAV is …
A multi-agent collaborative environment learning method for UAV deployment and resource allocation
Z Dai, Y Zhang, W Zhang, X Luo… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
The dynamic position deployment and resource allocation of the unmanned aerial vehicle
(UAV) communication networks has great significance in terms of interference management …
(UAV) communication networks has great significance in terms of interference management …
Incentivizing resource cooperation for blockchain empowered wireless power transfer in UAV networks
L Jiang, B Chen, S Xie, S Maharjan… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
In unmanned aerial vehicle (UAV) networks, UAVs-assisted wireless power transfer is a
promising approach to charge low-power smart devices for energy replenishment. However …
promising approach to charge low-power smart devices for energy replenishment. However …
Auction-based charging scheduling with deep learning framework for multi-drone networks
State-of-the-art drone technologies have severe flight time limitations due to weight
constraints, which inevitably lead to a relatively small amount of available energy. Therefore …
constraints, which inevitably lead to a relatively small amount of available energy. Therefore …
UAV-assisted wireless powered cooperative mobile edge computing: Joint offloading, CPU control, and trajectory optimization
This article investigates the unmanned-aerial-vehicle (UAV)-enabled wireless powered
cooperative mobile edge computing (MEC) system, where a UAV installed with an energy …
cooperative mobile edge computing (MEC) system, where a UAV installed with an energy …
RL-based user association and resource allocation for multi-UAV enabled MEC
In this paper, multi-unmanned aerial vehicle (UAV) enabled mobile edge computing (MEC),
ie, UAVE is studied, where several UAVs are deployed as flying MEC platform to provide …
ie, UAVE is studied, where several UAVs are deployed as flying MEC platform to provide …
3D UAV trajectory design and frequency band allocation for energy-efficient and fair communication: A deep reinforcement learning approach
Unmanned Aerial Vehicle (UAV)-assisted communication has drawn increasing attention
recently. In this paper, we investigate 3D UAV trajectory design and band allocation problem …
recently. In this paper, we investigate 3D UAV trajectory design and band allocation problem …
UAV-enhanced intelligent offloading for Internet of Things at the edge
With the explosive growth of diverse Internet of Things (IoT) applications, mobile edge
computing (MEC) has been brought to settle the conflict between computation-intensive …
computing (MEC) has been brought to settle the conflict between computation-intensive …
Energy consumption minimization in UAV-assisted mobile-edge computing systems: Joint resource allocation and trajectory design
Unmanned aerial vehicles (UAVs) have been introduced into wireless communication
systems to provide high-quality services and enhanced coverage due to their high mobility …
systems to provide high-quality services and enhanced coverage due to their high mobility …
Resource allocation in UAV-assisted networks: A clustering-aided reinforcement learning approach
S Zhou, Y Cheng, X Lei, Q Peng… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
As an aerial base station, unmanned aerial vehicle (UAV) has been considered as a
promising technology to assist future wireless communications due to its flexible, swift and …
promising technology to assist future wireless communications due to its flexible, swift and …