Cited by 31Network Traffic and Congestion ControlImage and Video Quality AssessmentSoftware-Defined Networks and 5G

Q-FDBA: improving QoE fairness for video streaming

Jiang, Jingyan, Hu, Liang, Hao, Pingting, Sun, Rui, Hu, Jiejun, Li, Hongtu·2018·Multimedia Tools and Applications

Integrity signals

Registry

Crossref · 10.1007/s11042-017-4917-1

Cites

33 of 33 references verified0 citation errors · 0 not checkable

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Authors
Jiang, J., Hu, L., Hao, P., Sun, R., Hu, J., & Li, H.
Affiliations
Jilin University (CN)
Corresponding author
Li, Hongtu
Venue
Multimedia Tools and Applications
Published
2017-07-11
Volume
77
Issue
9
Pages
10787-10806
ISSN
  • 1380-7501 (ISSN-L)
  • 1573-7721
OpenAlex
W2734517401
Cited by
31
References
33
Citations by year
2025: 1 · 2024: 1 · 2023: 4 · 2022: 8 · 2021: 6 · 2020: 4 · 2019: 5 · 2018: 2
FWCI
2.00
Type
journal article
Language
en
Open access
closed
Locations
  • Multimedia Tools and Applications (publishedVersion)
  • Lancaster EPrints (Lancaster University) (submittedVersion)
Funders
  • Youth Sci-Tech innovation leader and team project of Jilin Province of China (20170519017JH)
  • National Sci-Tech Support Plan of China (No. 2014BAH02F03)
  • Youth Science Foundation of Jilin Province of China (No. 20160520011JH)
Topics
  • Physical Sciences › Computer Science › Computer Networks and Communications › Network Traffic and Congestion Control
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Image and Video Quality Assessment
  • Physical Sciences › Computer Science › Computer Networks and Communications › Software-Defined Networks and 5G
Keywords
Q-learning, dynamic bandwidth allocation, software-defined networking, online reinforcement learning

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