Reinforcement learning-based energy-efficient data access for airborne users in civil aircrafts-enabled SAGIN

Q Chen, W Meng, S Han, C Li… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Airborne users are always dreaming of enjoying a good Internet access experience while in
the air. However, due to long propagation delay and limited network coverage, the existing …
被引用次数：20 相关文章 所有 3 个版本

Airborne Internet: An Ultra-Dense LEO Networks Empowered Satellite-to-Aircraft Access and Resource Management Approach

T Ma, B Qian, Y Wang, X Liu… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
With the rapid development of low earth orbit (LEO) satellite technologies and constellation
projects (like Starlink and OneWeb), the ongoing ultradense LEO satellite networks can …
被引用次数：1 相关文章
[PDF] cuhk.edu.cn

Online bipartite matching for HAP access in space-air-ground integrated networks using graph neural network-enhanced reinforcement learning

Y Xie, G Niu, MO Pun, Z Han - 2023 IEEE International …, 2023 - ieeexplore.ieee.org
Space-air-ground integrated networks have recently attracted intensive research interest as
an emerging 6G architecture to significantly extend the network coverage. In this paper, we …
被引用次数：3 相关文章 所有 2 个版本

Distributed deep reinforcement learning assisted resource allocation algorithm for space-air-ground integrated networks

P Zhang, Y Li, N Kumar, N Chen… - … on Network and …, 2022 - ieeexplore.ieee.org
To realize the Interconnection of Everything (IoE) in the 6G vision, the space-based, air-
based, and ground-based networks have shown a trend of integration. Compared with the …
被引用次数：15 相关文章

Enhanced max-min rate of users in UAV-assisted emergency networks using reinforcement learning

Z Kaleem, A Ahmad, O Chughtai… - IEEE Networking …, 2022 - ieeexplore.ieee.org
Unmanned aerial vehicles (UAVs) as an Aerial Base Station (ABS) are the enabler in the
provisioning of emergency communication services. However, ABS unplanned deployment …
被引用次数：12 相关文章
[PDF] ieee.org

Multi-Agent Reinforcement Learning-Based Resource Allocation Scheme for UAV-Assisted Internet of Remote Things Systems

D Lee, YG Sun, SH Kim, JH Kim, Y Shin, DI Kim… - IEEE …, 2023 - ieeexplore.ieee.org
Multi-layered communication networks including satellites and unmanned aerial vehicles
(UAVs) with remote sensing capability are expected to be an essential part of next …
被引用次数：2 相关文章 所有 3 个版本

Joint User pairing and resource allocation in air-to-ground communication-caching-charging integrated network based on NOMA

Y Yin, G Gui, M Liu, H Gacanin, H Sari… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
To provide seamless wireless coverage, the air-to-ground (A2G) heterogeneous wireless
network is considered as one of the most promising solutions. In this article, we develop a …
被引用次数：4 相关文章 所有 2 个版本

Optimal task offloading and resource allocation for C-NOMA heterogeneous air-ground integrated power Internet of Things networks

P Qin, Y Fu, X Zhao, K Wu, J Liu… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
By combining information communication technology with power grid, the smart grid-
oriented Power Internet of Things (PIoT) has become a critical technology to guarantee the …
被引用次数：38 相关文章

Civil aircrafts augmented space–air–ground-integrated vehicular networks: Motivation, breakthrough, and challenges

Q Chen, W Meng, S Li, C Li… - IEEE Internet of Things …, 2021 - ieeexplore.ieee.org
In order to meet mobile users' unprecedented communication demands and the goal of
global seamless communication, space–air–ground-integrated networks (SAGINs) have …
被引用次数：26 相关文章 所有 3 个版本

Joint flight cruise control and data collection in UAV-aided Internet of Things: An onboard deep reinforcement learning approach

K Li, W Ni, E Tovar, M Guizani - IEEE Internet of Things Journal, 2020 - ieeexplore.ieee.org
Employing unmanned aerial vehicles (UAVs) as aerial data collectors in Internet-of-Things
(IoT) networks is a promising technology for large-scale environment sensing. A key …
被引用次数：64 相关文章 所有 7 个版本