发表机构
i2CAT Foundation; Intracom Telecom; Industrial Systems Institute (ISI)/Athena Research Center; University of Patras（i2CAT基金会; Intracom电信; 工业系统研究所（ISI）/雅典研究中心; 帕特雷大学）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
针对6G连续体中多域编排缺乏智能的问题，提出基于智能体AI的GSMA运营商平台扩展，集成DeMAS和协商协议，实现意图驱动闭环管理，验证了URLLC与eMBB共存下的SLA协调与能效提升。
AI 中文摘要
随着第六代（6G）网络向无缝的云-边缘-物联网（IoT）连续体演进，跨分布式计算和网络域的自主编排变得至关重要。未来的6G服务将跨越多个行政和运营商域，使得联邦化成为实现超越单个覆盖范围的普遍、超低延迟服务连续性的关键。这种复杂性要求支持意图驱动自动化和闭环管理的AI原生机制。虽然GSMA运营商平台（OP）为多运营商联邦和网络能力开放提供了架构蓝图，且ETSI软件开发组OpenOP（SDG OOP）提供了主要的开源参考实现，但当前框架受限于无状态API交互且缺乏原生智能。本文为GSMA OP架构提出了一种智能体驱动的智能扩展，以OOP作为参考框架。我们引入了一个AI原生编排层，其中自主智能体管理持久服务上下文并通过CAMARA API实现闭环控制。通过将声明式监控与告警系统（DeMAS）集成到OOP栈中，并建立去中心化的智能体协商协议，所提出的架构能够在联邦域间实现实时的、意图驱动的资源优化和自主跨域冲突解决。我们通过一个涉及超可靠低延迟通信（URLLC）和增强移动宽带（eMBB）共存的代表性6G用例验证了我们的方法，证明了智能体OP框架能够自主协调严格的服务水平协议（SLA），同时提高基础设施能源效率。我们的研究结果为跨域网络即服务（NaaS）模型建立了一个可扩展的蓝图，该模型将标准化开放与6G自主需求相结合。
英文摘要
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.
Comments8 pages, 6 figures
