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This work has been funded by European Union's Horizon Europe Research and Innovation programme under the Zero-SWARM project (No 101057083), by MCIN/AEI/10.13039/501100011033 through the project PID2020-115576RB-I00, and by Generalitat Valenciana (CIGE/2022/17), and UMH's Vicerrectorado de Investigacion grants (VIPROAS23/11).

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Latency-Sensitive 5G RAN Slicing for Deterministic Aperiodic Traffic in Smart Manufacturing

Publicated to:Proceedings - 2023 Ieee Future Networks World Forum: Future Networks: Imagining The Network Of The Future, Fnwf 2023. - 2024-01-01 (), DOI: 10.1109/FNWF58287.2023.10520625

Authors: Carmen Lucas-Estan, M; Garcia-Morales, Jan; Gozalvez, Javier

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Abstract

5G and beyond networks will support the digitalization of smart manufacturing thanks to their capacity to simultaneously serve different types of traffic with distinct QoS requirements. This can be achieved using Network Slicing that creates different logical network partitions (or slices) over a common infrastructure, and each can be tailored to support a particular type of traffic. The configuration of the Radio Access Network (RAN) slices strongly impacts the capacity of 5G and beyond to support critical services with stringent QoS requirements, and in particular deterministic requirements. Existing RAN Slicing solutions only consider the transmission rate (or bandwidth) requirements of the different services to partition the radio resources. This study demonstrates that this approach is not suitable to guarantee the stringent latency requirements of deterministic aperiodic traffic that is characteristic of industrial critical applications. We then propose designing RAN slices using descriptors that consider both the services' transmission rate and latency requirements, and demonstrate that this approach can support critical services that generate deterministic aperiodic traffic.

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