The stringent requirements of the latest immersive applications (i.e., 360° video, VR, AR, XR, etc.) combined with the scarcity of radio resources are challenging the service operators of the various telecommunication networks. In the recent literature, HetNets have been proposed as an alternative to overcoming these challenges. In previous work, the authors presented SVORA, an architecture for integrating different radio technologies, combining virtualized/open RAN architectures and SBA-based RAN for efficient spectrum usage. In this work, the authors upgrade the previously proposed solution to deliver immersive video efficiently. The paper presents imeNF, a new set of Network Functions that support delivering high-bitrate immersive video-based applications with increased quality of service. Simulations-based testing shows how, based on imeNF, a 16k video can be sent with delays of 15 ms, while traditional D-RAN, V-RAN, and O-RAN-based approaches take more than 300 ms.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Improved Immersive Content Delivery in a Combined Service-based-Virtualized/Open-RAN Network Environment


    Contributors:


    Publication date :

    2024-10-07


    Size :

    1546994 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    An Integrated Cloud Service of Application Delivery in Virtualized Environments

    Shuen-Tai Wang / Yu-Ching Lin / Hsi-Ya Chang | BASE | 2016

    Free access

    VENUE: Virtualized Environment for Multi-UAV Network Emulation

    Sánchez Agüero, Víctor / Valera Pintor, Francisco / Nogales Dolado, Borja et al. | BASE | 2019

    Free access

    REAL-TIME AUTONOMOUS SEAT ADAPTATION AND IMMERSIVE CONTENT DELIVERY FOR VEHICLES

    POORNACHANDRAN RAJESH / SMITH NED M / SIVANESAN KATHIRAVETPILLAI et al. | European Patent Office | 2024

    Free access

    Virtualized GPU computing platform in clustered system environment

    Yang, Jingwei / Ma, Kai / Long, Xiang | British Library Online Contents | 2016


    An Immersive Motion Capture Environment

    Daniel Kade / Oğuzhan Özcan / Rikard Lindell | BASE | 2013

    Free access