Distributed deep reinforcement learning assisted resource allocation algorithm for space-air-ground integrated networks
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 …
based, and ground-based networks have shown a trend of integration. Compared with the …
Edge intelligence for mission-critical 6G services in space-air-ground integrated networks
Next-generation wireless services will change our daily lives by supporting smart factories,
intelligent transportation, augmented/virtual reality, and more. These sophisticated services …
intelligent transportation, augmented/virtual reality, and more. These sophisticated services …
Deep reinforcement learning-based resource allocation for satellite internet of things with diverse QoS guarantee
S Tang, Z Pan, G Hu, Y Wu, Y Li - Sensors, 2022 - mdpi.com
Large-scale terminals' various QoS requirements are key challenges confronting the
resource allocation of Satellite Internet of Things (S-IoT). This paper presents a deep …
resource allocation of Satellite Internet of Things (S-IoT). This paper presents a deep …
Joint network control and resource allocation for space-terrestrial integrated network through hierarchal deep actor-critic reinforcement learning
Conventional approaches to network control and resource allocation by allocating dedicated
spectrum resources and separate infrastructure for massive Internet of Things (IoT) network …
spectrum resources and separate infrastructure for massive Internet of Things (IoT) network …
Dynamic resource management in integrated NOMA terrestrial–satellite networks using multi-agent reinforcement learning
The integration of terrestrial and satellite wireless communication networks offers a practical
solution to enhance network coverage, connectivity, and cost-effectiveness. Moreover, in …
solution to enhance network coverage, connectivity, and cost-effectiveness. Moreover, in …
AI in SAGIN: Building deep learning service-oriented space-air-ground integrated networks
In next-generation mobile communications, space-air-ground integrated networks (SAGINs)
is an emerging infrastructure in future wireless access networks. Since artificial intelligence …
is an emerging infrastructure in future wireless access networks. Since artificial intelligence …
A deep reinforcement learning-based dynamic traffic offloading in space-air-ground integrated networks (SAGIN)
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 …
next generation network. The space satellites and air nodes are the potential candidates to …
Graph-based resource allocation for air-ground integrated networks
With the combined advantages of satellite communications, aerial networks and terrestrial
systems, a space-air-ground integrated network has gradually become a promising …
systems, a space-air-ground integrated network has gradually become a promising …
Federated learning for intelligent transmission with space-air-ground integrated network (SAGIN) toward 6G
The future intelligent devices requires ultra-low communication delay and high QoS
requirement for the following beyond-5G network. Space-air-ground Integrated Network …
requirement for the following beyond-5G network. Space-air-ground Integrated Network …
Space-air-ground integrated multi-domain network resource orchestration based on virtual network architecture: A DRL method
Traditional ground wireless communication networks cannot provide high-quality services
for artificial intelligence (AI) applications such as intelligent transportation systems (ITS) due …
for artificial intelligence (AI) applications such as intelligent transportation systems (ITS) due …
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