面向有机6G的对话式编排
Conversational Orchestration for Organic 6G
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中文总结 AI 辅助
针对有机6G跨域编排的开销与可部署性问题，提出基于LLM驱动域代理的轻量级去中心化对话式编排框架，仿真验证其控制开销可控且决策质量稳健。
中文摘要 AI 辅助
有机6G的愿景是构建覆盖边缘-云连续体并辅以非地面资源的网络之网络，要实现其承诺，服务提供需具备操作简单、跨独立管理域可扩展、域 churn（即域动态加入和离开）下敏捷的特性。尽管跨域编排已有进展，但许多方案依赖繁重的集成架构、多层协调器和深度遥测管道，这阻碍了可部署性并增大了协调开销。我们提出一种基于大语言模型（LLM）驱动的域代理的轻量级去中心化对话式编排框架。每个域保持自治：代理通过工具观测本地状态，在闭环中推理，并通过与数据平面耦合对齐的代理到代理（A2A）覆盖网络与相邻代理交换摘要。快速可行的部署通过周期性、类似路由的可达性通告（包含延迟、瓶颈带宽和计算能力）分发实现，而安全的重新优化、扩展和迁移则通过事件驱动的请求和协商处理。为满足实时约束，我们部署了一种通过验证器自验证训练的紧凑推理模型，并通过影子更新定期在线优化。仿真显示，随着域扩展和域加入，控制平面开销可控且接近线性，决策质量稳健，包括目标变更后的恢复。最后，我们概述了有机6G中原则性、安全性和感知不确定性的代理式编排的未来研究方向。
英文摘要
The Organic 6G vision of a network of networks spanning an edge-cloud continuum complemented by non-terrestrial resources requires, to realize its promise, service provisioning that is simple to operate, scalable across independently administered domains, and agile under domain churn (i.e., domains dynamically joining and leaving). Despite advances in cross-domain orchestration, many proposals rely on heavy integration fabrics, multi-layer coordinators, and deep telemetry pipelines that hinder deployability and amplify coordination overhead. We propose a lightweight, decentralized conversational orchestration framework based on Large Language Model (LLM)-driven domain agents. Each domain remains autonomous: an agent observes local state via tools, reasons in a closed loop, and exchanges summaries with neighboring agents over an Agent-to-Agent (A2A) overlay aligned with data-plane coupling. Fast feasible placement is enabled by periodic, routing-like dissemination of reachability advertisements (latency, bottleneck bandwidth, and compute capacity), while safe re-optimization, scaling, and migration are handled through event-driven requests and negotiation. To meet real-time constraints, we deploy a compact reasoning model trained with verifier-based self-verification and periodically refined online via shadow updates. Simulations show manageable, near-linear control-plane overhead as domains scale and during domain joins, and robust decision quality, including recovery after objective changes. We close by outlining future research directions for principled, secure, and uncertainty-aware agentic orchestration in Organic 6G.
发表机构
- ICTFICIAL Oy
- Ruhr University Bochum（波鸿鲁尔大学）
机构由 AI 辅助整理，请以论文原文为准。
