Optimal UAV Base Station Trajectories Using Flow-Level Models for Reinforcement Learning (Englisch)
- Neue Suche nach: Saxena, Vidit
- Weitere Informationen zu Saxena, Vidit:
- https://orcid.org/0000-0001-7974-5096
- Neue Suche nach: Jalden, Joakim
- Weitere Informationen zu Jalden, Joakim:
- https://orcid.org/0000-0001-6630-243X
- Neue Suche nach: Klessig, Henrik
- Weitere Informationen zu Klessig, Henrik:
- https://orcid.org/0000-0003-4730-9921
- Neue Suche nach: Saxena, Vidit
- Weitere Informationen zu Saxena, Vidit:
- https://orcid.org/0000-0001-7974-5096
- Neue Suche nach: Jalden, Joakim
- Weitere Informationen zu Jalden, Joakim:
- https://orcid.org/0000-0001-6630-243X
- Neue Suche nach: Klessig, Henrik
- Weitere Informationen zu Klessig, Henrik:
- https://orcid.org/0000-0003-4730-9921
In:
IEEE Transactions on Cognitive Communications and Networking
;
5
, 4
;
1101-1112
;
2019
- Aufsatz (Zeitschrift) / Elektronische Ressource
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Titel:Optimal UAV Base Station Trajectories Using Flow-Level Models for Reinforcement Learning
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Beteiligte:
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Erschienen in:IEEE Transactions on Cognitive Communications and Networking ; 5, 4 ; 1101-1112
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Verlag:
- Neue Suche nach: IEEE
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Erscheinungsdatum:01.12.2019
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Format / Umfang:3548469 byte
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ISSN:
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DOI:
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Medientyp:Aufsatz (Zeitschrift)
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Format:Elektronische Ressource
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Sprache:Englisch
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Datenquelle:
Inhaltsverzeichnis – Band 5, Ausgabe 4
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2019 Index IEEE Transactions on Cognitive Communications and Networking Vol. 5| 2019
- C1
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Table of contents| 2019
- C2
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IEEE Communications Society| 2019