Dynamic User Association and Computation Offloading in Satellite Edge Computing Networks via Deep Reinforcement Learning

Satellite mobile edge computing (SMEC) deployed on ultra-dense low Earth orbit (LEO) satellites with high throughput and low latency can provide ubiquitous computing services closer to the user side. However, considering the highly dynamic and limited resources of LEO constellations, a joint strateg...

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Veröffentlicht in:	IEEE transactions on green communications and networking 2024-12, Vol.8 (4), p.1888-1901
Hauptverfasser:	Zhang, Hangyu, Zhao, Hongbo, Liu, Rongke, Gao, Xiangqiang, Xu, Shenzhan
Format:	Artikel
Sprache:	eng
Schlagworte:	computation offloading Computational modeling deep reinforcement learning Dynamic scheduling Low earth orbit satellites Optimization resource allocation Resource management Satellite mobile edge computing Satellites Task analysis user association
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