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Deep Reinforcement Learning-Based Multipath Routing for LEO Megaconstellation Networks

Deep Reinforcement Learning-Based Multipath Routing for LEO Megaconstellation Networks

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_3090896659

Deep Reinforcement Learning-Based Multipath Routing for LEO Megaconstellation Networks

About this item

Full title

Deep Reinforcement Learning-Based Multipath Routing for LEO Megaconstellation Networks

Author / Creator

Publisher

Basel: MDPI AG

Journal title

Electronics (Basel), 2024-08, Vol.13 (15), p.3054

Language

English

Formats

Publication information

Publisher

Basel: MDPI AG

More information

Scope and Contents

Contents

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 parallel. Nevertheless, the mobility of satellites...

Alternative Titles

Full title

Deep Reinforcement Learning-Based Multipath Routing for LEO Megaconstellation Networks

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_3090896659

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_3090896659

Other Identifiers

ISSN

2079-9292

E-ISSN

2079-9292

DOI

10.3390/electronics13153054

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