Slicing for Dense Smart Factory Network: Current State, Scenarios, Challenges and Expectations
<|reference_start|>Slicing for Dense Smart Factory Network: Current State, Scenarios, Challenges and Expectations: In the era of Industry 4.0, smart factories have emerged as a paradigm shift, redefining manufacturing with the integration of advanced digital technologies. Central to this transformation is the deployment of 5G networks, offering unprecedented levels of connectivity, speed, reliability, and ultra-low latency. Among the revolutionary features of 5G is network slicing, a technology that offers enhanced capabilities through the customization of network resources by allowing multiple logical networks (or slices) to run on top of a shared physical infrastructure. This capability is particularly crucial in the densely packed and highly dynamic environment of smart factories, where diverse applications - from robotic automation to real-time analytics - demand varying network requirements. In this paper, we present a comprehensive overview of the integration of slicing in smart factory networks, emphasizing its critical role in enhancing operational efficiency and supporting the diverse requirements of future manufacturing processes. We elaborate on the recent advances, and technical scenarios, including indoor factory propagation conditions, traffic characteristics, system requirements, slice-aware radio resource management, network elements, enabling technologies and current standardisation efforts. Additionally, we identify open research challenges as well as key technical issues stifling deployments. Finally, we speculate on the future trajectory of slicing-enabled smart factories, emphasizing the need for continuous adaptation to emerging technologies.<|reference_end|>
@article{ochonu2024slicing,
    title={Slicing for Dense Smart Factory Network: Current State, Scenarios,
  Challenges and Expectations},
    author={Regina Ochonu, Josep Vidal},
    journal={arXiv preprint arXiv:2405.03230},
    year={2024},
    archivePrefix={arXiv},
    eprint={2405.03230},
    primaryClass={eess.SP cs.SY eess.SY}
}