Unmanned aerial vehicle communications for civil applications: A review
M Ghamari, P Rangel, M Mehrubeoglu… - IEEE …, 2022 - ieeexplore.ieee.org
The use of drones, formally known as unmanned aerial vehicles (UAVs), has significantly
increased across a variety of applications over the past few years. This is due to the rapid …
increased across a variety of applications over the past few years. This is due to the rapid …
Nonterrestrial communications assisted by reconfigurable intelligent surfaces
Nonterrestrial communications have emerged as a key enabler for seamless connectivity in
the upcoming generation networks. This kind of network can support high data rate …
the upcoming generation networks. This kind of network can support high data rate …
Distributed energy-efficient multi-UAV navigation for long-term communication coverage by deep reinforcement learning
In this paper, we aim to design a fully-distributed control solution to navigate a group of
unmanned aerial vehicles (UAVs), as the mobile Base Stations (BSs) to fly around a target …
unmanned aerial vehicles (UAVs), as the mobile Base Stations (BSs) to fly around a target …
Adaptive deployment for UAV-aided communication networks
Unmanned aerial vehicle (UAV) as an aerial base station is a promising technology to
rapidly provide wireless connectivity to ground users. Given UAV's agility and mobility, a key …
rapidly provide wireless connectivity to ground users. Given UAV's agility and mobility, a key …
A near-optimal UAV-aided radio coverage strategy for dense urban areas
Unmanned aerial vehicles (UAVs) may be used for providing seamless network coverage in
urban areas for improving the performance of conventional cellular networks. Given the …
urban areas for improving the performance of conventional cellular networks. Given the …
ICRA: An intelligent clustering routing approach for UAV ad hoc networks
As an important means of obtaining information of marine situation, the marine monitoring
system relying on UAV has been paid more and more attention by all countries in the world …
system relying on UAV has been paid more and more attention by all countries in the world …
Dynamic spectrum interaction of UAV flight formation communication with priority: A deep reinforcement learning approach
The formation flights of multiple unmanned aerial vehicles (UAV) can improve the success
probability of single-machine. Dynamic spectrum interaction solves the problem of the …
probability of single-machine. Dynamic spectrum interaction solves the problem of the …
Resource allocation and trajectory optimization for QoE provisioning in energy-efficient UAV-enabled wireless networks
In the past several years, unmanned aerial vehicle (UAV) have been employed to provide
enhanced coverage or relay service to mobile users in a scenario with limited or even no …
enhanced coverage or relay service to mobile users in a scenario with limited or even no …
Hierarchical game-theoretic and reinforcement learning framework for computational offloading in UAV-enabled mobile edge computing networks with multiple …
A Asheralieva, D Niyato - IEEE Internet of Things Journal, 2019 - ieeexplore.ieee.org
We present a novel game-theoretic (GT) and reinforcement learning (RL) framework for
computational offloading in the mobile edge computing (MEC) network operated by multiple …
computational offloading in the mobile edge computing (MEC) network operated by multiple …
Computation efficiency maximization and QoE-provisioning in UAV-enabled MEC communication systems
Since the traditional mobile edge computing (MEC) server is fixed at the edge of the
network, it is likely to cause severe propagation loss between the edge server and users …
network, it is likely to cause severe propagation loss between the edge server and users …