Path-based Deep Reinforcement Learning for On-board Routing in Satellite Constellation Networks
Efficient usage of available network resources is a crucial factor for broadband services in interconnected satellite constellations. To meet required quality of service standards under heavy network loads, it is essential to optimize traffic distribu
Authors
- Anupama Hegde (ORCID: https://orcid.org/0009-0006-5003-8762)
- Manuel M. H. Roth (ORCID: https://orcid.org/0000-0001-7878-1204)
- Andreas Knopp (ORCID: https://orcid.org/0000-0001-7798-0535)
- Thomas Jerkovits (ORCID: https://orcid.org/0000-0002-7538-7639)
- Thomas Delamotte (ORCID: https://orcid.org/0000-0003-4313-3033)
Institutions
- Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR) (DE)
- Universität der Bundeswehr München (DE)
Publication Details
- Published
- 2025-09-01
- DOI
- https://doi.org/10.22541/au.175672477.72924085/v1
- Primary Topic
- Satellite Communication Systems
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- European Space Agency