Radio Resource Allocation in Cellular V2X: From Rule Based to Reinforcement Learning Based Approaches:
Gespeichert in:
1. Verfasser: | |
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Format: | Abschlussarbeit Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Erlangen ; Nürnberg
Friedrich-Alexander-Universität Erlangen-Nürnberg
2024
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Schlagworte: | |
Online-Zugang: | Volltext Volltext Volltext Volltext |
Beschreibung: | 1 Online-Ressource Illustrationen, Diagramme |
DOI: | 10.25593/open-fau-899 |
Internformat
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Datensatz im Suchindex
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author | Hegde, Anupama Ramesh |
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spelling | Hegde, Anupama Ramesh Verfasser (DE-588)1342313860 aut Radio Resource Allocation in Cellular V2X: From Rule Based to Reinforcement Learning Based Approaches vorgelegt von Anupama Ramesh Hegde Funkressourcenzuweisung im Cellular V2X: Vom regelbasierten Ansatz zum Reinforcement Learning Erlangen ; Nürnberg Friedrich-Alexander-Universität Erlangen-Nürnberg 2024 1 Online-Ressource Illustrationen, Diagramme txt rdacontent c rdamedia cr rdacarrier Dissertation Friedrich-Alexander-Universität Erlangen-Nürnberg 2024 Archivierung/Langzeitarchivierung gewährleistet DE-101 pdager 4\p Zellulares Mobilfunksystem (DE-588)4387563-4 gnd 5\p Betriebsmittelverwaltung (DE-588)4417917-0 gnd 6\p Car-to-Car-Kommunikation (DE-588)1024622754 gnd 7\p Ressourcenallokation (DE-588)4129283-2 gnd 8\p Bestärkendes Lernen Künstliche Intelligenz (DE-588)4825546-4 gnd (DE-588)4113937-9 Hochschulschrift gnd-content https://open.fau.de/handle/openfau/31444 Verlag kostenfrei Volltext https://doi.org/10.25593/open-fau-899 Resolving-System kostenfrei Volltext https://nbn-resolving.org/urn:nbn:de:101:1-2409101421559.929341546194 Resolving-System kostenfrei Volltext https://d-nb.info/1341522687/34 Langzeitarchivierung Nationalbibliothek kostenfrei Volltext 1\p emakn 0,18386 20240911 DE-101 https://d-nb.info/provenance/plan#emakn 2\p emasg 0,49005 20240911 DE-101 https://d-nb.info/provenance/plan#emasg 3\p npi 20240910 DE-101 https://d-nb.info/provenance/plan#npi 4\p emagnd 0,22183 20240911 DE-101 https://d-nb.info/provenance/plan#emagnd 5\p emagnd 0,20752 20240911 DE-101 https://d-nb.info/provenance/plan#emagnd 6\p emagnd 0,13869 20240911 DE-101 https://d-nb.info/provenance/plan#emagnd 7\p emagnd 0,05283 20240911 DE-101 https://d-nb.info/provenance/plan#emagnd 8\p emagnd 0,05230 20240911 DE-101 https://d-nb.info/provenance/plan#emagnd |
spellingShingle | Hegde, Anupama Ramesh Radio Resource Allocation in Cellular V2X: From Rule Based to Reinforcement Learning Based Approaches 4\p Zellulares Mobilfunksystem (DE-588)4387563-4 gnd 5\p Betriebsmittelverwaltung (DE-588)4417917-0 gnd 6\p Car-to-Car-Kommunikation (DE-588)1024622754 gnd 7\p Ressourcenallokation (DE-588)4129283-2 gnd 8\p Bestärkendes Lernen Künstliche Intelligenz (DE-588)4825546-4 gnd |
subject_GND | (DE-588)4387563-4 (DE-588)4417917-0 (DE-588)1024622754 (DE-588)4129283-2 (DE-588)4825546-4 (DE-588)4113937-9 |
title | Radio Resource Allocation in Cellular V2X: From Rule Based to Reinforcement Learning Based Approaches |
title_alt | Funkressourcenzuweisung im Cellular V2X: Vom regelbasierten Ansatz zum Reinforcement Learning |
title_auth | Radio Resource Allocation in Cellular V2X: From Rule Based to Reinforcement Learning Based Approaches |
title_exact_search | Radio Resource Allocation in Cellular V2X: From Rule Based to Reinforcement Learning Based Approaches |
title_full | Radio Resource Allocation in Cellular V2X: From Rule Based to Reinforcement Learning Based Approaches vorgelegt von Anupama Ramesh Hegde |
title_fullStr | Radio Resource Allocation in Cellular V2X: From Rule Based to Reinforcement Learning Based Approaches vorgelegt von Anupama Ramesh Hegde |
title_full_unstemmed | Radio Resource Allocation in Cellular V2X: From Rule Based to Reinforcement Learning Based Approaches vorgelegt von Anupama Ramesh Hegde |
title_short | Radio Resource Allocation in Cellular V2X: From Rule Based to Reinforcement Learning Based Approaches |
title_sort | radio resource allocation in cellular v2x from rule based to reinforcement learning based approaches |
topic | 4\p Zellulares Mobilfunksystem (DE-588)4387563-4 gnd 5\p Betriebsmittelverwaltung (DE-588)4417917-0 gnd 6\p Car-to-Car-Kommunikation (DE-588)1024622754 gnd 7\p Ressourcenallokation (DE-588)4129283-2 gnd 8\p Bestärkendes Lernen Künstliche Intelligenz (DE-588)4825546-4 gnd |
topic_facet | Zellulares Mobilfunksystem Betriebsmittelverwaltung Car-to-Car-Kommunikation Ressourcenallokation Bestärkendes Lernen Künstliche Intelligenz Hochschulschrift |
url | https://open.fau.de/handle/openfau/31444 https://doi.org/10.25593/open-fau-899 https://nbn-resolving.org/urn:nbn:de:101:1-2409101421559.929341546194 https://d-nb.info/1341522687/34 |
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