Deep Reinforcement Learning-Based Multipath Routing for LEO Megaconstellation Networks

The expansion of megaconstellation networks (MCNs) represents a promising solution for achieving global Internet coverage. To meet the growing demand for satellite services, multipath routing allows the simultaneous establishment of multiple transmission paths, enabling the transmission of flows in...

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Bibliographic Details
Published in:	Electronics (Basel) Vol. 13; no. 15; p. 3054
Main Authors:	Han, Chi, Xiong, Wei, Yu, Ronghuan
Format:	Journal Article
Language:	English
Published:	Basel MDPI AG 01.08.2024
Subjects:	Algorithms Bandwidths Data transmission Decision making Deep learning Efficiency Graph neural networks Machine learning Network topologies Neural networks Routing (telecommunications) Satellite communications Satellite communications services industry Satellite constellations Scheduling Shortest-path problems Topology Traffic assignment Traffic information
ISSN:	2079-9292, 2079-9292
Online Access:	Get full text
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