AGORA：面向6G网络的代理绿色协调架构
AGORA: Agentic Green Orchestration Architecture for Beyond 5G Networks
AI总结：
本文提出AGORA架构，通过嵌入本地工具增强的大语言模型代理，将自然语言可持续性目标转化为基于 telemetry 的操作，实现能量感知的流量引导，展示紧凑模型在低能耗和正确策略执行中的优势。
摘要：
复杂移动网络系统的效果管理和运营决策制定带来了重大挑战，特别是在处理效率、用户满意度和节能流量引导等冲突需求时。文献中提出了多种增强网络管理的方法，如零触点网络（ZTN）和自组织网络（SON）；然而，这些方法通常缺乏将人类可持续性目标作为输入、将其转化为能源感知的操作策略并实时执行的实用且可扩展的机制。本文通过提出AGORA：面向6G网络的代理绿色协调架构来填补这一空白。AGORA在移动网络控制回路中嵌入了一个本地工具增强的大语言模型（LLM）代理，将自然语言可持续性目标转化为基于 telemetry 的操作，通过用户平面功能（UPF）执行能量感知的流量引导。研究发现，在工具驱动的控制回路中存在强烈的延迟-能耗耦合，并展示紧凑模型可以在低能耗的同时仍能实现正确的策略执行，包括在压力下的多接入边缘计算（MEC）条件下的非零迁移行为。我们的方法为以可持续性为导向、意图驱动的网络操作铺平了道路，使人类目标与可执行的协调在6G基础设施中对齐。
英文摘要：
Effective management and operational decision-making for complex mobile network systems present significant challenges, particularly when addressing conflicting requirements such as efficiency, user satisfaction, and energy-efficient traffic steering. The literature presents various approaches aimed at enhancing network management, including the Zero-Touch Network (ZTN) and Self-Organizing Network (SON); however, these approaches often lack a practical and scalable mechanism to consider human sustainability goals as input, translate them into energy-aware operational policies, and enforce them at runtime. In this study, we address this gap by proposing the AGORA: Agentic Green Orchestration Architecture for Beyond 5G Networks. AGORA embeds a local tool-augmented Large Language Model (LLM) agent in the mobile network control loop to translate natural-language sustainability goals into telemetry-grounded actions, actuating the User Plane Function (UPF) to perform energy-aware traffic steering. The findings indicate a strong latency-energy coupling in tool-driven control loops and demonstrate that compact models can achieve a low energy footprint while still facilitating correct policy execution, including non-zero migration behavior under stressed Multi-access Edge Computing (MEC) conditions. Our approach paves the way for sustainability-first, intent-driven network operations that align human objectives with executable orchestration in Beyond-5G infrastructures.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
