Empowering 6G Communication Service Providers: A Seamless SLA-to-Intent Translation Framework

The increasing demand for diverse services and applications in the realm of 6G technology presents a significant challenge for Communication Service Providers (CSPs): managing commitments for Service Level Agreements (SLAs). As these agreements become increasingly vital in the context of evolving services and use cases, the transition of these SLAs to intent-driven networks emerges as a crucial step toward a fully autonomous network management paradigm. When an SLA is provided in free text, it can be highly ambiguous and complex due to the lack of standardized language and precise definitions. The use of vague terms, varying interpretations, and inconsistent phrasing can lead to different understandings of the expectations, making it difficult to extract clear service requirements. This complexity requires careful analysis and clarification to ensure all parties have a shared understanding of the agreed terms. This necessitates a deeper understanding of SLAs, accurate interpretation, and identification of service domain projections to facilitate effective translation methods. This study proposes a framework for SLA-to-Intent translation, delving into technical parameters, constraints, domain mapping, and automation processes, with a detailed case study to illustrate its practical application. By analyzing these aspects, this research aims to empower CSPs to better understand and meet the needs and expectations of their customers in the dynamic landscape of 6G networks.

Authors

Institutions

Publication Details

Published
2025-03-11
DOI
https://doi.org/10.1109/icin64016.2025.10942723
Primary Topic
DNA and Biological Computing
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Empowering 6G Communication Service Providers: A Seamless SLA-to-Intent Translation Framework

Merve Saimler, Dinand Roeland, Snigdha Das, Sultan Ertaş et al.
DNA and Biological Computing
article

Empowering 6G Communication Service Providers: A Seamless SLA-to-Intent Translation Framework

Merve Saimler, Dinand Roeland, Snigdha Das, Sultan Ertaş, Mohammadreza Babaei, Mohammed Ziauddinm
article en

Abstract

The increasing demand for diverse services and applications in the realm of 6G technology presents a significant challenge for Communication Service Providers (CSPs): managing commitments for Service Level Agreements (SLAs). As these agreements become increasingly vital in the context of evolving services and use cases, the transition of these SLAs to intent-driven networks emerges as a crucial step toward a fully autonomous network management paradigm. When an SLA is provided in free text, it can be highly ambiguous and complex due to the lack of standardized language and precise definitions. The use of vague terms, varying interpretations, and inconsistent phrasing can lead to different understandings of the expectations, making it difficult to extract clear service requirements. This complexity requires careful analysis and clarification to ensure all parties have a shared understanding of the agreed terms. This necessitates a deeper understanding of SLAs, accurate interpretation, and identification of service domain projections to facilitate effective translation methods. This study proposes a framework for SLA-to-Intent translation, delving into technical parameters, constraints, domain mapping, and automation processes, with a detailed case study to illustrate its practical application. By analyzing these aspects, this research aims to empower CSPs to better understand and meet the needs and expectations of their customers in the dynamic landscape of 6G networks.

Ericsson (Sweden) (SE), Ericsson (Ireland) (IE), Taighde Éireann - Research Ireland (IE)
European Commission
Openalex Percentile: Top 94%
DNA and Biological Computing
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.