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

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

发表年份
2025
引用次数
2
访问权限
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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.

关键词

End-to-end principleComputer scienceFeature (linguistics)End userData miningQuality (philosophy)Artificial intelligenceData scienceWorld Wide Web

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