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https://hdl.handle.net/11000/33028
Latency-Sensitive 5G RAN Slicing for Deterministic Aperiodic Traffic in Smart Manufacturing
Title: Latency-Sensitive 5G RAN Slicing for Deterministic Aperiodic Traffic in Smart Manufacturing |
Authors: Lucas-Estañ, M. Carmen Garcia Morales, Jan Gozalvez, Javier |
Editor: IEEE |
Department: Departamentos de la UMH::Ingeniería de Comunicaciones |
Issue Date: 2023 |
URI: https://hdl.handle.net/11000/33028 |
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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Keywords/Subjects: RAN slicing network slicing Industry 4.0 5G resource provisioning latency aperiodic deterministic traffic |
Knowledge area: CDU: Ciencias aplicadas: Ingeniería. Tecnología |
Type of document: application/pdf |
Access rights: info:eu-repo/semantics/openAccess |
DOI: https://doi.org/10.1109/FNWF58287.2023.10520625 |
Appears in Collections: Artículos Ingeniería Comunicaciones
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