Bayesian optimization enhanced deep reinforcement learning for trajectory planning and network formation in multi-UAV networks
In this paper, we employ multiple UAVs coordinated by a base station (BS) to help the
ground users (GUs) to offload their sensing data. Different UAVs can adapt their trajectories …
ground users (GUs) to offload their sensing data. Different UAVs can adapt their trajectories …
Resource allocation for multi-UAV assisted IoT networks: A deep reinforcement learning approach
YY Munaye, RT Juang, HP Lin… - … on Pervasive Artificial …, 2020 - ieeexplore.ieee.org
The wireless communication system for the massively heterogeneous Internet of Things
(IoT) network hinders the allocation of resources. For this study, an unmanned aerial vehicle …
(IoT) network hinders the allocation of resources. For this study, an unmanned aerial vehicle …
Deep reinforcement learning for joint trajectory planning, transmission scheduling, and access control in UAV-assisted wireless sensor networks
Unmanned aerial vehicles (UAVs) can be used to relay sensing information and
computational workloads from ground users (GUs) to a remote base station (RBS) for further …
computational workloads from ground users (GUs) to a remote base station (RBS) for further …
5G Network on Wings: A Deep Reinforcement Learning Approach to the UAV-based Integrated Access and Backhaul
Fast and reliable wireless communication has become a critical demand in human life. In the
case of mission-critical (MC) scenarios, for instance, when natural disasters strike, providing …
case of mission-critical (MC) scenarios, for instance, when natural disasters strike, providing …
Deep reinforcement learning-based resource allocation in cooperative UAV-assisted wireless networks
We consider the downlink of an unmanned aerial vehicle (UAV) assisted cellular network
consisting of multiple cooperative UAVs, whose operations are coordinated by a central …
consisting of multiple cooperative UAVs, whose operations are coordinated by a central …
Joint topology construction and power adjustment for UAV networks: A deep reinforcement learning based approach
W Xu, H Lei, J Shang - China Communications, 2021 - ieeexplore.ieee.org
In this paper, we investigate a backhaul framework jointly considering topology construction
and power adjustment for self-organizing UAV networks. To enhance the backhaul rate with …
and power adjustment for self-organizing UAV networks. To enhance the backhaul rate with …
[HTML][HTML] Learning-based user association and dynamic resource allocation in multi-connectivity enabled unmanned aerial vehicle networks
Abstract Unmanned Aerial Vehicles (UAVs) as aerial base stations to provide
communication services for ground users is a flexible and cost-effective paradigm in B5G …
communication services for ground users is a flexible and cost-effective paradigm in B5G …
AI-enabled UAV communications: Challenges and future directions
Recently, unmanned aerial vehicles (UAVs) communications gained significant
concentration as a talented technology for future wireless communications using its …
concentration as a talented technology for future wireless communications using its …
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 …
Soft Actor–Critic Based 3-D Deployment and Power Allocation in Cell-Free Unmanned Aerial Vehicle Networks
F Xu, Y Ruan, Y Li - IEEE Wireless Communications Letters, 2023 - ieeexplore.ieee.org
This letter investigates a cell-free unmanned aerial vehicles (UAV) network where UAVs
serve as flying access points (FAPs) to overcome the inter-cell interference in conventional …
serve as flying access points (FAPs) to overcome the inter-cell interference in conventional …