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    This study introduces a multipath transmission framework for metaverse healthcare, enhancing network adaptability and quality. It ensures stable, low-latency connections crucial for diverse virtual health services.

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    Area of Science:

    • Computer Science
    • Network Engineering
    • Digital Health

    Background:

    • The metaverse is rapidly expanding into healthcare, posing significant network challenges.
    • Existing networks struggle with the high bandwidth, low latency, and stability demands of metaverse applications.
    • Healthcare services require flexible transmission mechanisms to adapt to diverse, hybrid needs within the metaverse.

    Purpose of the Study:

    • To develop a novel multipath transmission paradigm for metaverse-based healthcare services.
    • To create an orchestration framework for managing edge-side subflows and diverse healthcare applications.
    • To enhance network adaptability and quality for emerging virtual healthcare environments.

    Main Methods:

    • Developed a multipath transmission paradigm specifically for metaverse healthcare.
    • Devised an orchestration framework integrating edge-side subflow management with healthcare applications.
    • Utilized machine learning techniques for near-optimal subflow adjustment strategies.
    • Conducted experiments on diverse healthcare applications to validate framework adaptability.

    Main Results:

    • The proposed framework enables autonomous network adaptation to changing conditions and service requirements.
    • Demonstrated adaptability to varying application needs, including high throughput, low delay, and high stability.
    • Significantly reduced instances of network quality falling below minimum requirements.
    • Validated the framework's effectiveness through comprehensive experiments on diverse applications.

    Conclusions:

    • The developed multipath transmission paradigm and orchestration framework effectively address network challenges in metaverse healthcare.
    • The system autonomously adapts to diverse network and service demands, improving overall quality of service.
    • This work provides a foundation for robust and reliable metaverse-based healthcare services, paving the way for future innovations.