Sign inGet started
Paper · arXiv

Role-Based Agentic AI for Intent-Driven Network and Service Orchestration

Telecommunication networks are increasingly complex due to heterogeneous technologies, diverse service requirements, and growing demands for resource efficiency and business agility. Intent-Based Networking (IBN) and, more recently, agentic AI have emerged as promising paradigms to address this complexity through autonomous network management. However, existing approaches primarily focus on operational orchestration within Operations Support Systems (OSS) and lack an integrated framework that spans Business Support Systems (BSS) and OSS, limiting the realisation of true intent-to-business-to-network coordination. This paper presents a role-based multi-agent architecture (MAS) for end-to-e...

AuthorsJuan Parra-Ullauri, Talha Ahmed Khan, Daniel McHugh et al.
Primary categorycs.NI
Published6 May 2026
Last updated at source6 May 2026
cs.NIcs.AI
Embed this entry
<iframe src="https://silytics.si/embed/item/b14ce597-3a01-4da5-ba4d-c91f032457a5" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

Silytics shows public metadata from arXiv and links to the original. Information may be incomplete or out of date. Last refreshed 17 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.