Joint network control and resource allocation for space-terrestrial integrated network through hierarchal deep actor-critic reinforcement learning

HA Shah, L Zhao, IM Kim - IEEE Transactions on Vehicular …, 2021 - ieeexplore.ieee.org
Conventional approaches to network control and resource allocation by allocating dedicated
spectrum resources and separate infrastructure for massive Internet of Things (IoT) network …
被引用次数：36 相关文章
[PDF] qmul.ac.uk

Deep Dyna-reinforcement learning based on random access control in LEO satellite IoT networks

X Liu, H Zhang, K Long, A Nallanathan… - IEEE Internet of …, 2021 - ieeexplore.ieee.org
Random access schemes in satellite Internet-of-Things (IoT) networks are being considered
a key technology of new-type machine-to-machine (M2M) communications. However, the …
被引用次数：31 相关文章 所有 3 个版本

Machine learning-based resource allocation in satellite networks supporting internet of remote things

D Zhou, M Sheng, Y Wang, J Li… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Satellite networks have been regarded as a promising architecture for supporting the
Internet of remote things (IoRT) due to their advantages of wide coverage and high …
被引用次数：84 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：27 相关文章 所有 2 个版本
[PDF] ieee.org

Hypergraph based resource-efficient collaborative reinforcement learning for B5G massive IoT

F Yang, C Yang, J Huang, K Yu, S Garg… - IEEE Open Journal …, 2023 - ieeexplore.ieee.org
Beyond 5G (B5G) networks rapidly growing to connect billions of Internet of Things (IoT)
devices and the dense deployment of IoT devices leads the large-scale network conflict and …
被引用次数：10 相关文章
[PDF] uchile.cl

Artificial intelligence enabled Internet of Things: Network architecture and spectrum access

H Song, J Bai, Y Yi, J Wu, L Liu - IEEE Computational …, 2020 - ieeexplore.ieee.org
The explosive growth of wireless devices motivates the development of the internet-of-things
(IoT), which is capable of interconnecting massive and diverse" things" via wireless …
被引用次数：176 相关文章 所有 5 个版本

Joint optimization in blockchain and mec enabled space-air-ground integrated networks

J Du, J Wang, A Sun, J Qu, J Zhang… - IEEE Internet of …, 2024 - ieeexplore.ieee.org
In the 6G era, space–air–ground integrated networks (SAGINs) can provide ubiquitous
coverage for Internet of Things (IoT) devices. Multiaccess edge computing (MEC) and …
被引用次数：3 相关文章
[HTML] sciencedirect.com

[HTML][HTML] Multi-agent deep reinforcement learning for user association and resource allocation in integrated terrestrial and non-terrestrial networks

DJ Birabwa, D Ramotsoela, N Ventura - Computer Networks, 2023 - Elsevier
Integrating the terrestrial network with non-terrestrial networks to provide radio access as
anticipated in the beyond 5G networks calls for efficient user association and resource …
被引用次数：4 相关文章 所有 3 个版本

Aoi-aware joint spectrum and power allocation for internet of vehicles: A trust region policy optimization-based approach

N Peng, Y Lin, Y Zhang, J Li - IEEE Internet of Things Journal, 2022 - ieeexplore.ieee.org
In Internet of Vehicles (IoV), information freshness is a significant indicator to indemnify road
traffic safety, which is measured by Age of Information (AoI). In this article, we consider the …
被引用次数：24 相关文章
[PDF] nsf.gov

Optimizing AoI in UAV-RIS-Assisted IoT Networks: Off Policy Versus On Policy

M Sherman, S Shao, X Sun… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
In urban environments, tall buildings or structures can pose limits on the direct channel link
between a base station (BS) and an Internet of Thing device (IoTD) for wireless …
被引用次数：18 相关文章 所有 2 个版本