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Supervised Learning based QoE Prediction of Video Streaming in Future Networks: A Tutorial with Comp...

Supervised Learning based QoE Prediction of Video Streaming in Future Networks: A Tutorial with Comp...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2626561884

Supervised Learning based QoE Prediction of Video Streaming in Future Networks: A Tutorial with Comparative Study

About this item

Full title

Supervised Learning based QoE Prediction of Video Streaming in Future Networks: A Tutorial with Comparative Study

Publisher

Ithaca: Cornell University Library, arXiv.org

Journal title

arXiv.org, 2022-01

Language

English

Formats

Publication information

Publisher

Ithaca: Cornell University Library, arXiv.org

More information

Scope and Contents

Contents

The Quality of Experience (QoE) based service management remains key for successful provisioning of multimedia services in next-generation networks such as 5G/6G, which requires proper tools for quality monitoring, prediction and resource management where machine learning (ML) can play a crucial role. In this paper, we provide a tutorial on the dev...

Alternative Titles

Full title

Supervised Learning based QoE Prediction of Video Streaming in Future Networks: A Tutorial with Comparative Study

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_2626561884

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2626561884

Other Identifiers

E-ISSN

2331-8422

DOI

10.48550/arxiv.2202.02454

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