Abstract
Robotics is a rapidly growing field that is set to play an important role in automating many activities. The requirements that a robot can have for effective use can have large appeals. For example, in the case of its use for transport applications where it moves between people and vehicles, it is necessary to connect to a network with extremely low latency so that its reaction is immediate. In contrast, applications such as video transmission and recording and sending data require high throughput. The different demands on network resources lead to the need to implement flexible networks that can guarantee the necessary resources in the most efficient and reliable way. Slicing is a network capability that can provide specific network characteristics and can be implemented in different 5G network domain elements such as Radio Access Network (RAN), 5G Core or end-to-end. This paper presents the slicing mechanism that was implemented to be utilized for the needs of the use cases described in the 5G-ERA research project. In phase 1 of the implementation, which is described, slicing is focused on the packet core of the network that was integrated based on 5G SA Rel. 16 architecture.
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Acknowledgments
This work has been performed in the scope of the 5G-ERA European Research Project and has been supported by the Commission of the European Communities (Grant Agreement No. 101016681).
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Lessi, C.C. et al. (2023). Slicing Mechanism Deployment in 5G Networks for Robotic Use Cases. In: Maglogiannis, I., Iliadis, L., Papaleonidas, A., Chochliouros, I. (eds) Artificial Intelligence Applications and Innovations. AIAI 2023 IFIP WG 12.5 International Workshops. AIAI 2023. IFIP Advances in Information and Communication Technology, vol 677. Springer, Cham. https://doi.org/10.1007/978-3-031-34171-7_9
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DOI: https://doi.org/10.1007/978-3-031-34171-7_9
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