SOURCE-LINKED INTELLIGENCE

6G OPTIMIZATION AND CONSTRAINED INTELLIGENCE FOR END-TO-END NETWORK OPERATIONS ACROSS HETEROGENEOUS SEGMENTS

CORDIS · observation · Publication date unknown

IONS ACROSS HETEROGENEOUS SEGMENTS 6G-OPTICON is a flagship initiative aimed at designing a next-generation, end-to-end orchestration framework tailored for the 6G era. By embedding constraint-native deep learning throughout the orchestration pipeline, the project will enable intelligent, adaptive planning, optimization, and management across a complex landscape of interconnected networks and heterogeneous domains. At its core, 6G-OPTICON envisions an open, modular, and highly extensible orchestration fabric that unifies services and infrastructure across O-RAN, core, transport, and edge. To enable operation under strict real-time, latency, energy, security, and multi-domain constraints, novel deep learning models will be developed that inherently incorporate these requirements during training and execution (potentially guided by closed-form formulas or physical laws), ensuring SLA compliance, conflict-free optimization, and operational robustness. In parallel, the project pioneers secure-by-design AI pipelines, leveraging trusted execution environments, encrypted computation, and ex

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recordType

award

status

SIGNED

region

EU

value

2999999.5

unit

EUR