University of Oulu

T. Taleb et al., "Toward Supporting XR Services: Architecture and Enablers," in IEEE Internet of Things Journal, vol. 10, no. 4, pp. 3567-3586, 15 Feb.15, 2023, doi: 10.1109/JIOT.2022.3222103

Toward supporting XR services : architecture and enablers

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Author: Taleb, Tarik1; Boudi, Abderrahmane2,3; Rosa, Luis4;
Organizations: 1Faculty of Information Technology and Electrical Engineer, University of Oulu, Oulu, Finland
2Communications and Networking Department, ICTFicial Oy, Espoo, Finland
3Laboratoire de la Communication dans les Systèmes Informatiques, École Nationale Supérieure d’Informatique, Algiers, Algeria
4Research and Development Department, OneSource, Coimbra, Portugal
5Department of Informatics and Telematics, Harokopio University, Kallithea, Greece
6Department of Computer Science, University of Pisa, Pisa, Italy
7Department of Electrical and Computer Engineering, University of Western Macedonia, Kozani, Greece
8Department Research and Development, ORamaVR S.A., Heraklion, Greece
9Network Technologies Lab, Futurewei, Santa Clara, CA, USA
Format: article
Version: published version
Access: open
Online Access: PDF Full Text (PDF, 6 MB)
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Language: English
Published: Institute of Electrical and Electronics Engineers, 2022
Publish Date: 2023-05-11


Emerging cross-reality (XR) applications, including holography, augmented, virtual, and mixed reality, are characterized by unprecedented requirements for Quality of Experience (QoE), largely exceeding those currently attainable. To cope with these requirements, noticeable efforts and a number of initiatives are ongoing to enhance the current communications technologies, especially in the direction of supporting ultralow latency and increased bandwidth. This work proposes an architecture that puts together the key enablers to support future XR applications, highlighting the shortcomings of existing technologies and leveraging the ongoing innovations. It demonstrates the feasibility of the proposed architecture by describing the processes driving the platform with relevant use case scenarios, and mapping the envisioned functionality to existing tools.

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Series: IEEE internet of things journal
ISSN: 2372-2541
ISSN-E: 2327-4662
ISSN-L: 2327-4662
Volume: 10
Issue: 4
Pages: 3567 - 3586
DOI: 10.1109/JIOT.2022.3222103
Type of Publication: A1 Journal article – refereed
Field of Science: 213 Electronic, automation and communications engineering, electronics
Funding: This work was supported by the European Union’s Horizon 2020 Research and Innovation Programme through the CHARITY Project under Grant 101016509.
Copyright information: © The Author(s) 2022. This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see