Summary
Future 6G networks will connect many devices and operators across different locations, requiring smart coordination to keep services fast and reliable. The authors propose adding intelligent agents to current systems to manage these complex networks automatically and continuously. These agents keep track of ongoing services, handle problems in real time, and work together across different network operators. They tested this approach on a challenging 6G scenario with very fast and reliable communication needs, showing it can meet strict agreements while saving energy. This work offers a way to build more flexible, automated, and efficient 6G network services.
6G networkscloud-edge-IoT continuumAI-native orchestrationautonomous agentsfederated operatorsservice level agreements (SLAs)network as a service (NaaS)closed-loop managementUltra-Reliable Low-Latency Communication (URLLC)enhanced Mobile Broadband (eMBB)
Authors
Claudia Carballo González, Hatim Chergui, Sergio Giménez-Antón, Mohammadreza Mosahebfard, Juan Sebastián Camargo, Pouria Sayyad Khodashenas, Vasileios Theodorou, Christos Verikoukis
Abstract
As Sixth-Generation (6G) networks evolve towards a seamless Cloud-Edge-Internet of Things (IoT) continuum, autonomous orchestration across distributed compute and network domains becomes critical. Future 6G services will span multiple administrative and operator domains, making federation essential for ubiquitous, ultra-low-latency service continuity beyond individual footprints. This complexity demands AI-native mechanisms supporting intent-driven automation and closed-loop management. While the GSMA Operator Platform (OP) provides the architectural blueprint for multi-operator federation and network capability exposure, and the ETSI Software Development Group OpenOP (SDG OOP) offers a primary open-source reference implementation, current frameworks are limited by stateless API interactions and lack native intelligence. This paper proposes an Agentic-driven Intelligence extension for the GSMA OP architecture, using the OOP as the reference framework. We introduce an AI-native orchestration layer where autonomous agents manage persistent service contexts and enable closed-loop control via CAMARA APIs. By integrating a Declarative Monitoring and Alerting System (DeMAS) into the OOP stack and establishing a decentralised agent negotiation protocol, the proposed architecture enables real-time, intent-driven resource optimisation and autonomous cross-domain conflict resolution across federated domains. We validate our approach through a representative 6G use case involving Ultra-Reliable Low-Latency Communication (URLLC) and enhanced Mobile Broadband (eMBB) coexistence, demonstrating that an agentic OP framework autonomously reconciles stringent Service Level Agreements (SLAs) while enhancing infrastructure energy efficiency. Our findings establish a scalable blueprint for cross-domain Network-as-a-Service (NaaS) models that align standardised exposure with 6G autonomous requirements.