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 …

Multi-agent DRL for resource allocation and cache design in terrestrial-satellite networks

X Li, H Zhang, H Zhou, N Wang, K Long… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
In the past few years, satellite communications have greatly affected our daily lives, and the
integrated terrestrial-satellite network can combine the advantages of satellite and base …

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-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 …

Network selection based on evolutionary game and deep reinforcement learning in space-air-ground integrated network

K Fan, B Feng, X Zhang, Q Zhang - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
In next generation communication system, space-air-ground integrated network (SAGIN)
would be utilized to provide ubiquitous and unlimited wireless connectivity with large …

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 …

A deep reinforcement learning-based dynamic traffic offloading in space-air-ground integrated networks (SAGIN)

F Tang, H Hofner, N Kato, K Kaneko… - IEEE Journal on …, 2021 - ieeexplore.ieee.org
Space-Air-Ground Integrated Networks (SAGIN) is considered as the key structure of the
next generation network. The space satellites and air nodes are the potential candidates to …

Distributed intelligence: A verification for multi-agent DRL-based multibeam satellite resource allocation

X Liao, X Hu, Z Liu, S Ma, L Xu, X Li… - IEEE …, 2020 - ieeexplore.ieee.org
Centralized radio resource management method puts all of the computational burdens in an
agent, which is unbearable with the increasing of data dimensionality. This letter focuses on …

AI in SAGIN: Building deep learning service-oriented space-air-ground integrated networks

H Li, K Ota, M Dong - IEEE Network, 2022 - ieeexplore.ieee.org
In next-generation mobile communications, space-air-ground integrated networks (SAGINs)
is an emerging infrastructure in future wireless access networks. Since artificial intelligence …

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 …