The paper proposes and simulates an AI-based management framework for service function chains in space-air-ground integrated networks, reporting better completion rates than baseline strategies.
A deep reinforcement learning-based dynamic traffic offloading in space-air-ground integrated networks (SAGIN),
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.NI 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Interplay Between AI and Space-Air-Ground Integrated Network: The Road Ahead
The paper proposes and simulates an AI-based management framework for service function chains in space-air-ground integrated networks, reporting better completion rates than baseline strategies.