Components

Experimentation Plane

Sixth generation (6G) MANO orchestration, distributed supervision, and reconfigurable control logic are essential for managing dynamic network components like cell-free, OAI, and RIS. Zero-touch AI-powered intent-based automation ensures security, efficiency, scalability, and sustainability in cross-domain and interoperable deployment environments. A highly intelligent intent management engine platform is needed for the 6G-BRICKS experimentation plane, automating the entire life cycle of intent-driven cross-platform user demands and offering potential intent conflict reconciliation. It features end-to-end decentralized AI and Game-Theoretic actors.

Key Features

01
Portal and user plane for Intent Translation.
02
Intent Management Engine design and conflict resolution algorithms.
03
Beyond SotA Admission control algorithm for the intent reconciliation.

Technologies Involved

TMF921 IDAN project, Learnable Commutative Monoids (LCM), Closed-Loop Automation (zero-touch), end-to-end Artificial Intelligence”, Game-Theoretic-Matching-Theoretic algorithms.

Collaboration Process

The component(s) are fully modular and re-usable for third parties.

Contact Points

  • Prof. Christos Verikoukis
  • Industrial Systems Institute (ISI) | Athena Research Center | Athens, Greece
  • cveri@isi.gr
  • Dr. Kostas Ramantas
  • Iquadrat Informatica | Barcelona, Spain
  • kramantas@iquadrat.com

Documentation/Resources

  • TM Forum. Intent Ontology (TIO) – References v3.2.0 (TR292R). Technical Report IG 1218, TM Forum, 08 2023. Version 3.2.0.
  • Lingga, P., Kim, J.J., & Jeong, J.P. (2022). Intent-Based Network Management in 6G Core Networks. 2022 13th International Conference on Information and Communication Technology Convergence (ICTC), 760-762.
  • Luis A. Garrido et al., “Admission Control with Resource Efficiency Using Reinforcement Learning in Beyond-5G Networks”.
  • Zhang, J., Guo, J., Yang, C., Mi, X., Jiao, L., Zhu, X., Cao, L., & Li, R. (2021). A Conflict Resolution Scheme in Intent-Driven Network. 2021 IEEE/CIC International Conference on Communications in China (ICCC), 23-28.
  • Skaperas, S., Ferdosian, N., Chorti, A., & Mamatas, L. (2021). Scheduling Optimization of Heterogeneous Services by Resolving Conflicts.
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