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Viewport-Adaptive Scalable Multi-User Virtual Reality Mobile-Edge Streaming.

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    This study introduces a new 5G system for high-quality virtual reality (VR) streaming, integrating advanced video tiling, resource allocation, and edge computing for enhanced untethered VR experiences.

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    Area of Science:

    • Communications Engineering
    • Computer Science
    • Immersive Technologies

    Background:

    • Virtual Reality (VR) offers significant societal benefits, including improved quality of life and economic growth.
    • High-quality, untethered VR streaming requires advanced communication systems to handle large data volumes and low latency.

    Purpose of the Study:

    • To develop a novel communications system for next-generation, high-quality untethered VR streaming.
    • To integrate scalable multi-layer 360° video tiling, viewport-adaptive resource allocation, and VR-centric edge computing.

    Main Methods:

    • Designed a system using 5G small cells pooling resources for scalable 360° video delivery.
    • Developed models for statistical user navigation and optimized edge-based multi-user VR streaming with viewport adaptation.
    • Implemented base station 360° video packet scheduling and explored network-coded data operations.

    Main Results:

    • Achieved considerable gains in delivered immersion fidelity for VR streaming.
    • Demonstrated significantly higher 360° viewport peak signal-to-noise ratio (PSNR).
    • Improved VR video frame rates and spatial resolutions compared to state-of-the-art.

    Conclusions:

    • The proposed framework enables high-quality, untethered VR streaming by integrating key communication and computing technologies.
    • The system enhances user immersion through superior visual fidelity and performance metrics.
    • This research paves the way for widespread adoption and advanced applications of virtual reality.