Constrained utility maximization in dual-functional radar-communication multi-UAV networks
In this paper, we investigate the network utility maximization problem in a dual-functional
radar-communication multi-unmanned aerial vehicle (multi-UAV) network where multiple …
radar-communication multi-unmanned aerial vehicle (multi-UAV) network where multiple …
Joint trajectory and communication design for multi-UAV enabled wireless networks
Due to the high maneuverability, flexible deployment, and low cost, unmanned aerial
vehicles (UAVs) have attracted significant interest recently in assisting wireless …
vehicles (UAVs) have attracted significant interest recently in assisting wireless …
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 …
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 …
On UAV selection and position-based throughput maximization in multi-UAV relaying networks
Due to flexibility in deployment and high mobility, unmanned aerial vehicles (UAVs) can
improve the performance of cellular networks. In this paper, we focus on the UAV-assisted …
improve the performance of cellular networks. In this paper, we focus on the UAV-assisted …
Learn-as-you-fly: A distributed algorithm for joint 3D placement and user association in multi-UAVs networks
In this paper, we propose a distributed algorithm that allows unmanned aerial vehicles
(UAVs) to dynamically learn their optimal 3D locations and associate with ground users …
(UAVs) to dynamically learn their optimal 3D locations and associate with ground users …
Multi-agent reinforcement learning-based resource allocation for UAV networks
Unmanned aerial vehicles (UAVs) are capable of serving as aerial base stations (BSs) for
providing both cost-effective and on-demand wireless communications. This article …
providing both cost-effective and on-demand wireless communications. This article …
Energy-efficient joint scheduling and resource management for UAV-enabled multicell networks
H Yang, X Xie - IEEE Systems Journal, 2019 - ieeexplore.ieee.org
Unmanned aerial vehicles (UAVs) have attracted much attention recently in wireless
communication networks due to their low-cost and flexible deployment. In this paper, we …
communication networks due to their low-cost and flexible deployment. In this paper, we …
UAV-enabled radio access network: Multi-mode communication and trajectory design
In this paper, we consider an unmanned aerial vehicle (UAV)-enabled radio access network
(RAN) with the UAV acting as an aerial platform to communicate with a set of ground users …
(RAN) with the UAV acting as an aerial platform to communicate with a set of ground users …
Deployment and association of multiple UAVs in UAV-assisted cellular networks with the knowledge of statistical user position
Exploiting unmanned aerial vehicles (UAVs) as flying relays is becoming an indispensable
strategy to assist terrestrial cellular networks to enhance coverage. One challenging …
strategy to assist terrestrial cellular networks to enhance coverage. One challenging …