YouTube goes 5G: QoE Benchmarking and ML-based Stall Prediction-Reference-Cited by-同舟云学术

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YouTube goes 5G: QoE Benchmarking and ML-based Stall Prediction

Published:2024-04-21 Issue: Volume: Page:01-06
ISSN:
Container-title:2024 IEEE Wireless Communications and Networking Conference (WCNC)
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Author:

Mustafa Raza Ul¹,Barakat Chadi²,Rothenberg Christian Esteve¹

Affiliation:

1. University of Campinas (UNICAMP),Brazil

2. Inria, Universite Cote d'Azur,France

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10570463/10570502/10571175.pdf?arnumber=10571175

Reference11 articles.

1. Analysis of YouTube DASH Traffic

2. An in-depth study of uplink performance of 5G mmWave networks

3. Beyond throughput, the next generation

4. Implications of handover events in commercial 5G non-standalone deployments in Rome

5. The First 5G-LTE Comparative Study in Extreme Mobility

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. YouTube goes 5G: QoE Benchmarking and ML-based Stall Prediction;2024 IEEE Wireless Communications and Networking Conference (WCNC);2024-04-21

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