Demonstration of a Control Plane in Support of E2E Deterministic Service Provisioning over a Multi- domain Multi-technology 6G Network

The use cases associated to the emerging 6G technology demand a dynamic and adaptive network operation capable of addressing the specific requirements of heterogeneous data plane technologies. This demonstration presents the operation of a multi-domain multi-technology control plane architecture designed to provision end-to-end (E2E) connectivity with deterministic performance guarantees. Key innovations highlighted in the demonstration include homogenized configuration of diverse data plane technologies, advanced topology abstraction enabling Key Performance Indicator (KPI)-aware path computation, and the use of digital twin (DT)-based KPI estimation to support deterministic connectivity configuration. These capabilities collectively showcase a promising approach for managing the complexity and performance demands of future 6G networks.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-06-20
DOI
https://doi.org/10.5281/zenodo.15705669
Primary Topic
Software-Defined Networks and 5G
Type
article
Field-Weighted Citation Impact
0.00
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article

Demonstration of a Control Plane in Support of E2E Deterministic Service Provisioning over a Multi- domain Multi-technology 6G Network

Zenodo (CERN European Organization for Nuclear Research)
Software-Defined Networks and 5G
article

Demonstration of a Control Plane in Support of E2E Deterministic Service Provisioning over a Multi- domain Multi-technology 6G Network

article en

Abstract

The use cases associated to the emerging 6G technology demand a dynamic and adaptive network operation capable of addressing the specific requirements of heterogeneous data plane technologies. This demonstration presents the operation of a multi-domain multi-technology control plane architecture designed to provision end-to-end (E2E) connectivity with deterministic performance guarantees. Key innovations highlighted in the demonstration include homogenized configuration of diverse data plane technologies, advanced topology abstraction enabling Key Performance Indicator (KPI)-aware path computation, and the use of digital twin (DT)-based KPI estimation to support deterministic connectivity configuration. These capabilities collectively showcase a promising approach for managing the complexity and performance demands of future 6G networks.

Zenodo (CERN European Organization for Nuclear Research)
Nextworks (Italy) (IT), Universidad Carlos III de Madrid (ES), Universitat Politècnica de Catalunya (ES)
Industry, innovation and infrastructure
Openalex Percentile: Top 51%
Software-Defined Networks and 5G
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