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Towards QoE-Driven Optimization of Multi-Dimensional Content Streaming

Alkhalili, Yassin ; Weil, Jannis ; Tahir, Anam ; Meuser, Tobias ; Koldehofe, Boris ; Mauthe, Andreas ; Koeppl, Heinz ; Steinmetz, Ralf (2024)
Towards QoE-Driven Optimization of Multi-Dimensional Content Streaming.
In: Electronic Communications of the EASST, 2021, 80
doi: 10.26083/tuprints-00027018
Article, Secondary publication, Publisher's Version

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Item Type: Article
Type of entry: Secondary publication
Title: Towards QoE-Driven Optimization of Multi-Dimensional Content Streaming
Language: English
Date: 22 April 2024
Place of Publication: Darmstadt
Year of primary publication: 8 September 2021
Place of primary publication: Berlin
Publisher: Berlin UP
Journal or Publication Title: Electronic Communications of the EASST
Volume of the journal: 80
Collation: 15 Seiten
DOI: 10.26083/tuprints-00027018
URL / URN: https://eceasst.org/index.php/eceasst/article/view...
Corresponding Links:
Origin: Secondary publication service

Whereas adaptive video streaming for 2D video is well established and frequently used in streaming services, adaptation for emerging higher-dimensional content, such as point clouds, is still a research issue. Moreover, how to optimize resource usage in streaming services that support multiple content types of different dimensions and levels of interactivity has so far not been sufficiently studied. Learning-based approaches aim to optimize the streaming experience according to user needs. They predict quality metrics and try to find system parameters maximizing them given the current network conditions. With this paper, we show how to approach content and network adaption driven by Quality of Experience (QoE) for multi-dimensional content. We describe components required to create a system adapting multiple streams of different content types simultaneously, identify research gaps and propose potential next steps.

Uncontrolled Keywords: Multimedia Streaming, In-Network Processing, Reinforcement Learn-ing, Quality of Experience
Status: Publisher's Version
URN: urn:nbn:de:tuda-tuprints-270187
Classification DDC: 000 Generalities, computers, information > 004 Computer science
600 Technology, medicine, applied sciences > 621.3 Electrical engineering, electronics
Divisions: 18 Department of Electrical Engineering and Information Technology > Institute for Telecommunications > Bioinspired Communication Systems
18 Department of Electrical Engineering and Information Technology > Institute of Computer Engineering > Multimedia Communications
Date Deposited: 22 Apr 2024 09:44
Last Modified: 23 Apr 2024 04:49
URI: https://tuprints.ulb.tu-darmstadt.de/id/eprint/27018
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