A game-theoretic learning approach to QoE-driven resource allocation scheme in 5G-enabled IoT
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
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1687-1499
- Extent
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Online-Ressource
- Language
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Englisch
- Notes
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online resource.
- Bibliographic citation
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A game-theoretic learning approach to QoE-driven resource allocation scheme in 5G-enabled IoT ; volume:2019 ; number:1 ; day:6 ; month:3 ; year:2019 ; pages:1-10 ; date:12.2019
EURASIP journal on wireless communications and networking / European Association for Speech, Signal and Image Processing ; 2019, Heft 1 (6.3.2019), 1-10, 12.2019
- Creator
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Dai, Haibo
Zhang, Haiyang
Wu, Wei
Wang, Baoyun
- Contributor
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SpringerLink (Online service)
- DOI
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10.1186/s13638-019-1359-7
- URN
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urn:nbn:de:101:1-2019040100524203902431
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
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14.08.2025, 11:02 AM CEST
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Associated
- Dai, Haibo
- Zhang, Haiyang
- Wu, Wei
- Wang, Baoyun
- SpringerLink (Online service)
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