AI-enabled space-air-ground integrated networks: Management and optimization

P Zhang, N Chen, S Shen, S Yu, N Kumar… - IEEE Network, 2023 - ieeexplore.ieee.org
AI-enabled Beyond 5G (B5G) and 6G technologies are promising candidates to support the
future generation Space-Air-Ground Integrated Networks (SAGINs). The highly dynamic …

Space-air-ground integrated multi-domain network resource orchestration based on virtual network architecture: A DRL method

P Zhang, C Wang, N Kumar… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Traditional ground wireless communication networks cannot provide high-quality services
for artificial intelligence (AI) applications such as intelligent transportation systems (ITS) due …

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 …

Optimizing space-air-ground integrated networks by artificial intelligence

N Kato, ZM Fadlullah, F Tang, B Mao… - IEEE Wireless …, 2019 - ieeexplore.ieee.org
It is widely acknowledged that the development of traditional terrestrial communication
technologies cannot provide all users with fair and high quality services due to scarce …

Incorporating distributed DRL into storage resource optimization of space-air-ground integrated wireless communication network

C Wang, L Liu, C Jiang, S Wang… - IEEE Journal of …, 2021 - ieeexplore.ieee.org
Space-air-ground integrated network (SAGIN) is a new type of wireless network mode. The
effective management of SAGIN resources is a prerequisite for high-reliability …

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 …

Space-aerial-ground-sea integrated networks: Resource optimization and challenges in 6G

S Sharif, S Zeadally, W Ejaz - Journal of Network and Computer …, 2023 - Elsevier
Abstract Space–air–ground–sea integrated (SAGSI) networks are envisioned to connect
satellite, aerial, ground, and sea networks to provide connectivity everywhere and all the …

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 …

Federated deep reinforcement learning for the distributed control of NextG wireless networks

P Tehrani, F Restuccia… - 2021 IEEE International …, 2021 - ieeexplore.ieee.org
Next Generation (NextG) networks are expected to support demanding tactile internet
applications such as augmented reality and connected autonomous vehicles. Whereas …

Empowering non-terrestrial networks with artificial intelligence: A survey

A Iqbal, ML Tham, YJ Wong, G Wainer, YX Zhu… - IEEE …, 2023 - ieeexplore.ieee.org
6G networks can support global, ubiquitous and seamless connectivity through the
convergence of terrestrial and non-terrestrial networks (NTNs). Unlike terrestrial scenarios …