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Functionally Unified, Trustworthy, Ultra-Responsive, Reasoning-Enabled 6G with Autonomous Agents

Objective

Federated, Unified, Trustworthy, Ubiquitous Reinforcement-learning Enabled 6G through Agentic AI represents a timely and edge-cutting doctoral network addressing Europe's strategic imperative to lead autonomous 6G intelligence. At a critical moment when global competition for AI-native networking leadership intensifies, FUTURE-6G pioneers the integration of agentic AI systems—combining large language models, reinforcement learning, and multi-agent coordination—to enable zero-touch, self-managing 6G network operations aligned with the EU AI Act. This truly industrial doctorate brings together an exceptional consortium of 11 beneficiary organizations and 11 academic partners spanning world-leading telecommunications infrastructure providers (Nokia, Ericsson, Telefónica, TurkCell, Orange), cutting-edge AI hardware innovators (NVIDIA), semantic technology (ECCENCA, DTC) and RAN integration experts (IQU, ISW), and premier research institutions, creating an unparalleled innovation ecosystem where 15 doctoral candidates work embedded within industrial environments while pursuing rigorous academic training. The 15 DCs conduct research directly aligned with industry-driven challenges—from autonomous RAN orchestration and intent-driven actuation to quantum-resilient network security and energy-efficient edge intelligence—bridging the gap between academic theory and production deployment. Each doctoral researcher gains hands-on experience with production-grade network testbeds, GPU-accelerated HPC infrastructure, advanced digital twin simulation environments, and real operational networks, while contributing breakthrough innovations in agentic orchestration frameworks, hallucination-resilient LLMs, and trustworthy AI reasoning engines. FUTURE-6G delivers European technological sovereignty in AI-native network systems, creating competitive advantages through superior fault management, spectrum efficiency, energy optimization, and autonomous decisions.

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Keywords

Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)

Programme(s)

Multi-annual funding programmes that define the EU’s priorities for research and innovation.

Topic(s)

Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.

Funding Scheme

Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.

HORIZON-TMA-MSCA-DN-ID - HORIZON TMA MSCA Doctoral Networks - Industrial Doctorates

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Call for proposal

Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.

(opens in new window) HORIZON-MSCA-2025-DN-01

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Coordinator

IQUADRAT INFORMATICA SL
Net EU contribution

Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.

€ 846 564,48
Address
CALLE DOCTOR RIZAL 10, P.BJ2 PTA 2
08006 Barcelona
Spain

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SME

The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.

Yes
Region
Este Cataluña Barcelona
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
Links
Total cost

The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.

No data

Participants (10)

Partners (13)