Online Assignment of Satellite Data Transmission Tasks Based on Twin Delayed Deep Deterministic Policy Gradient

This study focuses on the scheduling problem of satellite data transmission tasks, where ground station resources are scarce and subject to multiple constraints, such as limited funding, long investment cycles, and limited industrial technology. With the increase of satellite observation tasks, data...

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Veröffentlicht in:	2024 7th World Conference on Computing and Communication Technologies (WCCCT) S. 245 - 249
Hauptverfasser:	Li, Ke, Xiong, Shunrui, Yang, Mingying, Ma, Sai
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 12.04.2024
Schlagworte:	data transmission task scheduling Deep reinforcement learning Dynamic scheduling Heuristic algorithms Job shop scheduling Processor scheduling Satellites scheduling problem Sharding twin delayed deep deterministic policy gradient
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