D3.3 Release 2 of AI-driven inter-domain network control, management, and orchestration innovations
This document presents the advancements in the functional design of the AI-driven multi- stakeholder inter-domain control plane (AICP) under the PREDICT-6G framework. This release focuses on extending support for heterogeneous data planes, enabling the integration of multi-technology deterministic domains with seamless interoperability. AICP is empowered by four cornerstone enablers: i) AI/ML for dynamic resource optimization, ii) Digital Twins for predictive service performance and system modelling, iii) Enhanced data management for real-time monitoring and insights, and iv) Cross-domain orchestration for end-to-end lifecycle governance of deterministic services. Additionally, the document explores advanced methodologies to abstract and represent diverse underlying network technologies within the AICP framework, addressing a fundamental requirement for effective E2E service lifecycle management. You can read D3.1 here and D3.2 here.
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-02-13
- DOI
- https://doi.org/10.5281/zenodo.14865229
- Primary Topic
- Cardiac Fibrosis and Remodeling
- Type
- article
- Field-Weighted Citation Impact
- 0.00