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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Vydané v:	2024 7th World Conference on Computing and Communication Technologies (WCCCT) s. 245 - 249
Hlavní autori:	Li, Ke, Xiong, Shunrui, Yang, Mingying, Ma, Sai
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 12.04.2024
Predmet:	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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