arXiv:2509.04993cs.MAcs.AI2025-09中稿 · IEEE Communication…被引 6

6G网络中用双环协作让大模型智能体更高效地处理复杂任务

LLM Enabled Multi-Agent System for 6G Networks: Framework and Method of Dual-Loop Edge-Terminal Collaboration

  • 通过终端与边缘端的双环协作,实现任务分解与并行执行
  • 案例验证任务规划能力提升,执行效率显著改善
  • 适合研究6G智能服务与多智能体协同的学者参考

6G网络的泛在计算资源为大语言模型(LLMs)与智能服务通过代理框架融合提供了理想环境。借助辅助模块和规划核心,基于LLM的代理可自主规划并执行动作,以应对多样化的环境语义与用户意图。然而,单个网络设备的资源有限,严重制约了具备复杂工具调用功能的LLM代理的高效运行,亟需高效的多层次设备协同机制。为此,本文提出一种支持双环终端-边缘协作的LLM增强型多智能体系统框架与方法。外环实现全局代理与部署于边缘服务器及终端的多个子代理之间的迭代协作,通过任务分解与并行子任务分发增强规划能力;内环则由具特定角色的子代理循环进行推理、执行与重规划,并引入并行工具调用生成与卸载策略以提升效率。通过在6G支持的城市安全治理场景中的案例研究,验证了任务规划能力与执行效率的提升。最后,深入分析了6G网络中的开放挑战与未来方向,推动6G时代的到来。

原文摘要 · Abstract (English)

The ubiquitous computing resources in 6G networks provide ideal environments for the fusion of large language models (LLMs) and intelligent services through the agent framework. With auxiliary modules and planning cores, LLM-enabled agents can autonomously plan and take actions to deal with diverse environment semantics and user intentions. However, the limited resources of individual network devices significantly hinder the efficient operation of LLM-enabled agents with complex tool calls, highlighting the urgent need for efficient multi-level device collaborations. To this end, the framework and method of the LLM-enabled multi-agent system with dual-loop terminal-edge collaborations are proposed in 6G networks. Firstly, the outer loop consists of the iterative collaborations between the global agent and multiple sub-agents deployed on edge servers and terminals, where the planning capability is enhanced through task decomposition and parallel sub-task distribution. Secondly, the inner loop utilizes sub-agents with dedicated roles to circularly reason, execute, and replan the sub-task, and the parallel tool calling generation with offloading strategies is incorporated to improve efficiency. The improved task planning capability and task execution efficiency are validated through the conducted case study in 6G-supported urban safety governance. Finally, the open challenges and future directions are thoroughly analyzed in 6G networks, accelerating the advent of the 6G era.

6G网络多智能体大模型应用

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