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<p>The sixth-generation (6G) technology is expected to revolutionize mobile communication, fostering the emergence of novel services driven by societal needs. This work explores the potential of 6G in facilitating seamless robotic service delivery. We present a conceptual architecture for offering end-to-end robotic services within a 6G network environment. This architecture considers heterogeneous hardware components, physical data transmission mediums, and microservice-based software content. Building upon existing research, we propose a novel feature-oriented quality of anything (QoX) model that combines existing quality of service (QoS) and quality of consumption (QoC) metrics. The model provides a comprehensive framework for assessing service performance from both the network and user perspectives. This work advances 6G use cases by proposing a <i>first-of-its-kind</i> QoX framework that unifies QoS and QoC for context-aware robotic services.</p>

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A novel feature-oriented quality of anything (QoX) framework for end-to-end robotic services in 6G networks

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年7月10日

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  • Varvara Mineeva,
  • Abdelhamied A. Ateya,
  • Artem Volkov,
  • Ammar Muthanna,
  • Andrey Koucheryavy,
  • Samia A. Chelloug,
  • Ahmed A. Abd El-Latif

摘要

The sixth-generation (6G) technology is expected to revolutionize mobile communication, fostering the emergence of novel services driven by societal needs. This work explores the potential of 6G in facilitating seamless robotic service delivery. We present a conceptual architecture for offering end-to-end robotic services within a 6G network environment. This architecture considers heterogeneous hardware components, physical data transmission mediums, and microservice-based software content. Building upon existing research, we propose a novel feature-oriented quality of anything (QoX) model that combines existing quality of service (QoS) and quality of consumption (QoC) metrics. The model provides a comprehensive framework for assessing service performance from both the network and user perspectives. This work advances 6G use cases by proposing a first-of-its-kind QoX framework that unifies QoS and QoC for context-aware robotic services.