A game-theoretic learning approach to QoE-driven resource allocation scheme in 5G-enabled IoT

Location
Deutsche Nationalbibliothek Frankfurt am Main
ISSN
1687-1499
Extent
Online-Ressource
Language
Englisch
Notes
online resource.

Bibliographic citation
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
Dai, Haibo
Zhang, Haiyang
Wu, Wei
Wang, Baoyun
Contributor
SpringerLink (Online service)

DOI
10.1186/s13638-019-1359-7
URN
urn:nbn:de:101:1-2019040100524203902431
Rights
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
Last update
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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