Resilient Massive Access for SAGIN: A Deep Reinforcement Learning Approach

In the visionary ideals of "Internet of Everything" and "Digital Twins", the future 6G will deeply integrate diverse heterogeneous networks such as satellite and aerial networks to support seamless connectivity and efficient interoperability, also known as space-air-ground integr...

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Veröffentlicht in:	IEEE journal on selected areas in communications 2025-01, Vol.43 (1), p.297-313
Hauptverfasser:	Wang, Chaowei, Pang, Mingliang, Wu, Tong, Gao, Feifei, Zhao, Lingli, Chen, Jiabin, Wang, Wenyuan, Wang, Dongming, Zhang, Zhi, Zhang, Ping
Format:	Artikel
Sprache:	eng
Schlagworte:	advantage actor-critic Algorithms Autonomous aerial vehicles Complexity Digital twins High altitude high altitude platform stations Internet of Things Markov processes Network latency NOMA non-orthogonal multiple access Nonorthogonal multiple access Power management Random access resilient massive access Resource management Resource scheduling Satellites Space-air-ground integrated networks Uplink Uplinking
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