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
- 开放获取
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
相关论文
Statistical Learning Theory
Yuhai Wu, Vladimir Vapnik
1999
Artificial intelligence: a modern approach
1995
Fractional Differential Equations
Igor Podlubný
2025
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991