QoE Prediction for Gaming Video Streaming in O-RAN Using Convolutional Neural Networks-Reference-Cited by-同舟云学术

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QoE Prediction for Gaming Video Streaming in O-RAN Using Convolutional Neural Networks

Published:2024 Issue: Volume:5 Page:1167-1181
ISSN:2644-125X
Container-title:IEEE Open Journal of the Communications Society
language:
Short-container-title:IEEE Open J. Commun. Soc.

Author:

Kougioumtzidis Georgios¹^ORCID,Vlahov Atanas²^ORCID,Poulkov Vladimir K.¹^ORCID,Lazaridis Pavlos I.³^ORCID,Zaharis Zaharias D.⁴^ORCID

Affiliation:

1. Department of Communication Networks, Technical University of Sofia, Sofia, Bulgaria

2. Intelligent Communication Infrastructure Laboratory, Sofia Tech Park, Sofia, Bulgaria

3. School of Computing and Engineering, University of Huddersfield, Huddersfield, U.K

4. School of Electrical and Computer Engineering, Aristotle University of Thessaloniki, Thessaloniki, Greece

Funder

H2020 Marie Sk?odowska-Curie Actions

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/8782661/10362961/10422719.pdf?arnumber=10422719

Reference53 articles.

1. An Introduction to Online Video Game QoS and QoE Influencing Factors

2. Learning QoE of Mobile Video Transmission With Deep Neural Network: A Data-Driven Approach

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1. Bioelectrical Measurements of Lenses Effect During Esports Training Sessions: Could the Yellow Lenses Enhance Gaming Performance?;2024 IEEE Gaming, Entertainment, and Media Conference (GEM);2024-06-05

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