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| Funder | European Commission |
|---|---|
| Recipient Organization | Athina-Erevnitiko Kentro Kainotomias Stis Technologies Tis Pliroforias, Ton Epikoinonion Kai Tis Gnosis |
| Country | Greece |
| Start Date | Jan 01, 2024 |
| End Date | Dec 31, 2026 |
| Duration | 1,095 days |
| Number of Grantees | 28 |
| Roles | Participant; Coordinator |
| Data Source | European Commission |
| Grant ID | 101139257 |
6G is expected to emerge as key enabler for the intelligent digital society of 2030 and beyond, providing superior performance via groundbreaking access technologies, such as joint communication and sensing, cell-free, Radio Intelligent Surfaces, and ubiquitous wireless intelligence .
Most importantly, 6G is expected to trigger a total rethink of network architecture design, which builds on the key idea of new stakeholders entering into the value chain of future networks.
The SUNRISE-6G approach is inspired by the network of networks concept of 6G Networks, aiming to integrate all private and public infrastructures under a massively scalable internet-like architecture.
SUNRISE-6G similarly aspires to create a federation of 6G test infrastructures in a pan-european facility that will support converged Testing as a Service (TaaS) workflows and tools, a unified catalogue of 6G enablers publicly accessible by experimenters, and cross-domain vertical application onboarding.
Experimentation and vertical application onboarding are offered via a Tenant Web Portal, that acts as a single-entry point to the facility, serving end users (e.g., experimenters) and tenants (e.g., vertical developers, infrastructure owners, 6G component manufactures).
The project execution is based on 4 pillars, delivering: (a) the Implementation of new 6G enablers, complementary to existing ones being developed in SNS Phase 1 projects, (b) A truly scalable and 3GPP compliant Federation solution that provides access to heterogeneous resources and devices from all Europe, (c) A Federated AI plane aligned with AIaaS and MLOPS paradigms, which promotes a collaborative approach to AI research which benefits immensely from scaling-up datasets and models and (d) a commonly adopted Experimentation Plane, which offers common workflows to experimenters.
Lulea Tekniska Universitet; Tzoyniper Diktya Ellas Anonymi Etairia; Nh Appart Holding Ltd; Lenovo Deutschland Gmbh; Oulun Yliopisto; Teknologian Tutkimuskeskus Vtt Oy; Fraunhofer Gesellschaft Zur Forderung Der Angewandten Forschung Ev; Thales Six Gts France Sas; Intracom Single Member Sa Telecom Solutions; Athina-Erevnitiko Kentro Kainotomias Stis Technologies Tis Pliroforias, Ton Epikoinonion Kai Tis Gnosis; Fogus Innovations & Services P.C.; Ibm Ireland Limited; Altice Labs Sa; Infolysis P.C.; Greenerwave; Organismos Tilepikoinonion Tis Ellados Ote Ae; Consiglio Nazionale Delle Ricerche; Ebos Technologies Limited; "National Center for Scientific Research ""Demokritos"""; Eurecom Gie; Iquadrat Informatica Sl; Panepistimio Thessalias; Consorzio Nazionale Interuniversitario Per Le Telecomunicazioni; Katholieke Universiteit Leuven; Isrd Sp Z O.O.; Fundacio Privada I2Cat, Internet I Innovacio Digital A Catalunya; Siemens Aktiengesellschaft; Sorbonne Universite
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