Deep Reinforcement Learning-Based Online Resource Management for UAV-Assisted Edge Computing With Dual Connectivity

LT Hoang, CT Nguyen, AT Pham - IEEE/ACM Transactions on …, 2023 - ieeexplore.ieee.org
Mobile Edge Computing (MEC) is a key technology towards delay-sensitive and
computation-intensive applications in future cellular networks. In this paper, we consider a …

Budgeted out-tree maximization with submodular prizes

G D'Angelo, E Delfaraz, H Gilbert - arXiv preprint arXiv:2204.12162, 2022 - arxiv.org
We consider a variant of the prize collecting Steiner tree problem in which we are given
a\emph {directed graph} $ D=(V, A) $, a monotone submodular prize function $ p: 2 …

Topology construction and topology adjustment in flying Ad hoc networks for relay transmission

Y Liu, J Xie, C Xing, S Xie - Computer Networks, 2023 - Elsevier
A flying ad hoc network (FANET) is formed by multiple unmanned aerial vehicles (UAVs) in
an ad hoc manner in which UAVs can cooperate more effectively to complete complex tasks …

Maximizing h-hop independently submodular functions under connectivity constraint

W Xu, D Peng, W Liang, X Jia, Z Xu… - … -IEEE Conference on …, 2022 - ieeexplore.ieee.org
This study is motivated by the maximum connected coverage problem (MCCP), which is to
deploy a connected UAV network with given K UAVs in the top of a disaster area such that …

Multi-Objective Optimization Approaches for Physical Layer Secure Communications Based on Collaborative Beamforming in UAV Networks

J Li, G Sun, H Kang, A Wang, S Liang… - IEEE/ACM …, 2023 - ieeexplore.ieee.org
Unmanned aerial vehicle (UAV) communications and networks are promising technologies
in the forthcoming 5G/6G wireless communications. However, they have challenges for …

Adaptive and Fair Deployment Approach to Balance Offload Traffic in Multi-UAV Cellular Networks

CC Lai, AH Tsai, LC Wang - IEEE Transactions on Vehicular …, 2022 - ieeexplore.ieee.org
Unmanned aerial vehicle-aided communication (UAB-BS) is a promising solution to
establish rapid wireless connectivity in sudden/temporary crowded events because of its …

Joint Optimization of Mobility and Reliability-Guaranteed Air-to-Ground Communication for UAVs

J Zhou, D Tian, Y Yan, X Duan… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Aerial unmanned vehicles (UAVs) play a significant role in improving the connectivity and
coverage of terrestrial communication networks. However, UAV-assisted air-to-ground (A2G) …

Q-learning-based UAV-mounted base station positioning in a disaster scenario for connectivity to the users located at unknown positions

D Mandloi, R Arya - The Journal of Supercomputing, 2023 - Springer
Due to its flexibility, cost-effectiveness, and quick deployment abilities, unmanned aerial
vehicle-mounted base station (UmBS) deployment is a promising approach for restoring …

An Approximation Algorithm for the -Hop Independently Submodular Maximization Problem and Its Applications

W Xu, H Xie, C Wang, W Liang, X Jia… - IEEE/ACM …, 2022 - ieeexplore.ieee.org
This study is motivated by the maximum connected coverage problem (MCCP), which is to
deploy a connected UAV network with given $ K $ UAVs in the top of a disaster area such …

[HTML][HTML] A Location-Aware Resource Optimization for Maximizing Throughput of Emergency Outdoor–Indoor UAV Communication with FSO/RF

Z Guo, W Gao, H Ye, G Wang - Sensors, 2023 - mdpi.com
In emergency communication scenarios, unmanned aerial vehicles (UAVs) can be used as
an air relay to provide higher-quality communication for indoor users. When bandwidth …