Toward Proactive, Secure and Efficient Space-Air-Ground Communications: Generative AI-Based DRL Framework

Toward Proactive, Secure and Efficient Space-Air-Ground Communications: Generative AI-Based DRL Framework

The rapid growth of low-Earth-orbit (LEO) satellites has enabled integrated space-air-ground networks to provide seamless connectivity to mobile users. However, these networks face challenges such as physical layer security risks from line-of-sight channels and the energy constraints of high-altitud...

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Bibliographic Details
Main Authors: Amayika Kakati, Guoquan Li, Elhadj Moustapha Diallo, Lilian Chiru Kawala, Nasir Hussain, Abuzar B. M. Adam
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Open Journal of the Communications Society
Subjects:
Generative artificial intelligence
space-air-ground network
deep reinforcement learning
beamforming
user association
high altitude platform
Online Access:https://ieeexplore.ieee.org/document/10876168/
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https://ieeexplore.ieee.org/document/10876168/

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