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dc.contributor.authorChatzieleftheriou, Livia Elena 
dc.contributor.authorde Andrés Hernández, David 
dc.contributor.authorBizzarri, Simone
dc.contributor.authorFiore, Marco 
dc.contributor.authorFodrini, Maurizio
dc.contributor.authorGarcia-Saavedra, Andres
dc.contributor.authorGramaglia, Marco 
dc.contributor.authorMunicio, Esteban
dc.contributor.authorTsolkas, Dimitris
dc.date.accessioned2025-04-14T16:16:28Z
dc.date.available2025-04-14T16:16:28Z
dc.date.issued2025-06-03
dc.identifier.citation[1] 3rd Generation Partnership Project (3GPP), “Technical specification group services and system aspects; study on 3gpp ai/ml consistency alignment (release 19),” tech. rep., 3GPP, 2024. version 0.2.0. [2] L. E. Chatzieleftheriou et al., “Towards 6G: Architectural Innovations and Challenges in the ORIGAMI Framework,” in 2024 Joint Euro- pean Conference on Networks and Communications & 6G Summit (EuCNC/6G Summit), pp. 1139–1144, 2024. [3] M.-A. Garcia-Martin et al., “Network Automation and Data Analytics in 3GPP 5G Systems,” IEEE Network, vol. 38, no. 4, pp. 182–189, 2024. [4] A. Garcia-Saavedra and X. Costa-P´erez, “O-RAN: Disrupting the Vir- tualized RAN Ecosystem,” IEEE Communications Standards Magazine, vol. 5, no. 4, pp. 96–103, 2021. [5] A.-S. Charismiadis et al., “The 3GPP Common API framework: Open- source release and application use cases,” in 2023 Joint European Con- ference on Networks and Communications & 6G Summit (EuCNC/6G Summit), pp. 472–477, 2023. [6] L. L. Schiavo et al., “CloudRIC: Open Radio Access Network (O-RAN) Virtualization with Shared Heterogeneous Computing,” in Proceedings of the 30th Annual International Conference on Mobile Computing and Networking, pp. 558–572, 2024. [7] A. T.-J. Akem et al., “Flowrest: Practical Flow-Level Inference in Programmable Switches with Random Forests,” in IEEE INFOCOM, pp. 1–10, 2023. [8] A. T.-J. Akem et al., “Jewel: Resource-Efficient Joint Packet and Flow Level Inference in Programmable Switches,” in IEEE INFOCOM, 2024. [9] C. Zheng et al., “Planter: Rapid Prototyping of In-Network Machine Learning Inference,” SIGCOMM Comput. Commun. Rev., vol. 54, p. 2–21, Aug. 2024. [10] B. B¨ut¨un et al., “DUNE: Distributed Inference in the User Plane,” in IEEE INFOCOM, 2025. [11] G. Xie et al., “Empowering In-Network Classification in Programmable Switches by Binary Decision Tree and Knowledge Distillation,” IEEE/ACM Transactions on Networking, vol. 32, no. 1, pp. 382–395, 2024es
dc.identifier.urihttps://hdl.handle.net/20.500.12761/1912
dc.description.abstractThe transition to 6G presents many barriers to be overcome, as well as opportunities for innovation. The integration of Network Intelligence (NI) is pivotal in optimizing network performance, enhancing security, and improving resource allo- cation. The ORIGAMI project identifies 8 critical barriers to 6G deployment and proposes both architectural and NI innovations to overcome them. This paper discusses the standardization potential of such innovations, which respond to 10 different use cases, each with diverse necessity and impact on the associated components, and across multiple network domains. We present in detail three key architectural innovations, namely the Compute Continuum Layer (CCL), the Zero Trust Layer (ZTL), and the Global Service-Based Architecture (GSBA), are leveraged to ensure dynamic adaptation and zero-trust business models; we then discuss two representative NI innovations targeting energy efficiency and infrastructure management. Overall, this paper shows how ORIGAMI’s comprehensive approach to innovation aligns with and impacts ongoing standardization efforts.es
dc.description.sponsorshipSmart Networks and Services Joint Undertaking (SNS JU) under the European Union’s Horizon Europe research and innovation program under Grant Agreement No. 101139270es
dc.description.sponsorshipMCIU/AEI/10.13039/501100011033 and the European Union “NextGenerationEU”/PRTRes
dc.language.isoenges
dc.title6G Standardization Potential of the ORIGAMI Novel Architectures and Use Caseses
dc.typeconference objectes
dc.conference.date3-6 June 2025es
dc.conference.placePoznan, Polandes
dc.conference.titleEuCNC & 6G Summit 2025*
dc.event.typeconferencees
dc.pres.typepaperes
dc.type.hasVersionAMes
dc.rights.accessRightsopen accesses
dc.page.final6es
dc.page.initial1es
dc.relation.projectNameORIGAMIes
dc.subject.keyword6Ges
dc.subject.keywordmobile network architectureses
dc.subject.keywordnetwork intelligencees
dc.subject.keywordglobal mobile serviceses
dc.subject.keywordcompute continuumes
dc.description.refereedTRUEes
dc.description.statusinpresses


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