Mixed Materials
Hybrid P4 Programmable Pipelines for 5G gNodeB and User Plane Functions
| Title: | Hybrid P4 Programmable Pipelines for 5G gNodeB and User Plane Functions |
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| Authors: | Kumar Singh, Suneet, Rothenberg, C. E., Langlet, J., Kassler, Andreas, Voros, P., Laki, S., Pongracz, G. |
| Publisher Information: | Karlstads universitet, Institutionen för matematik och datavetenskap (from 2013) University of Campinas, Brasil University of Campinas, Brasil Queen Mary University of London, UK ELTE Eötvös Loránd University, Hungary ELTE Eötvös Loránd University, Hungary Ericsson Research, Hungary 2022 |
| Document Type: | Mixed materials |
| Abstract: | This paper focuses on hybrid pipeline designs for User Plane Function and next-generation NodeB leveraging target-specific features and an insightful discussion of P4 and target challenges and limitations. The entire or disaggregated UPF runs on P4 targets and allocates packet processing data paths in P4 hardware or DPDK/x86 software based on flow characteristics (e.g., heavy hitters) and QoS requirements (e.g., low-latency slices). For the hybrid gNodeB, most packet processing is executed in commodity Tofino hardware, while unsupported functions such as Automatic Repeat Request and cryptography are performed in DPDK/x86. We show that our hybrid UPF improves the scalability by 18× and reduces latency up to 50%. The results also suggest that careful traffic allocation to pipeline targets is required to optimize each target's strength and avoid processing delays. Finally, we demonstrate a QoS-oriented application of the hybrid UPF and present gNodeB buffer service benchmarks. |
| Index Terms: | 5G mobile communication systems; Benchmarking; Data handling; Error correction; Field programmable gate arrays (FPGA); Pipeline processing systems; Quality of service; Reconfigurable hardware, 5g; 5g mobile communication; Field programmable gate array; Field programmables; Hardware; Hybrid network; Mobile communications; Programmable gate array; Programmable network; User planes, Pipelines, Communication Systems, Kommunikationssystem, Computer Sciences, Datavetenskap (datalogi), Article in journal, info:eu-repo/semantics/article, text |
| DOI: | 10.1109.TMC.2022.3201512 |
| URL: | IEEE Transactions on Mobile Computing, 1536-1233, 2022, s. 1-18 |
| Availability: | Open access content. Open access content info:eu-repo/semantics/restrictedAccess |
| Note: | English |
| Other Numbers: | UPE oai:DiVA.org:kau-92120 0000-0002-9446-8143 doi:10.1109/TMC.2022.3201512 ISI:001098818300005 Scopus 2-s2.0-85137560638 1349001186 |
| Contributing Source: | UPPSALA UNIV LIBR From OAIster®, provided by the OCLC Cooperative. |
| Accession Number: | edsoai.on1349001186 |
| Database: | OAIster |
| DOI: | 10.1109.TMC.2022.3201512 |
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