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English(EN) ORION: An Outcome-Driven LLM Advisor for RL-Based Multi-Domain 6G Slice Placement

ORION LLM顾问优化6G网络切片放置

作者 PulseAugur 编辑部 · [2 个来源] ·

研究人员开发了ORION，这是一种新颖的基于LLM的顾问，旨在优化多域6G环境中网络切片的放置。该系统使用两个LLM代理将服务意图转化为放置计划，并采用协作式多智能体强化学习协调器。一项关键创新是ORION以结果为导向的经验记忆，它记录网络条件、提出的计划及其可行性结果，以适应和改进未来的放置。实验表明，与没有记忆的规划器相比，该记忆组件显著提高了接纳率。 AI

影响 这项研究可能为未来6G部署带来更高效、更自适应的网络管理。

排序理由 该集群描述了一篇详细介绍新系统和方法的论文。

在 arXiv cs.LG 阅读 →

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ORION LLM顾问优化6G网络切片放置

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报道来源 [2]

  1. arXiv cs.LG TIER_1 English(EN) · Mahmoud S. Mayaleh, Fetia Bannour, Nour-El-Houda Yellas ·

    ORION: An Outcome-Driven LLM Advisor for RL-Based Multi-Domain 6G Slice Placement

    arXiv:2610.41563v1 Announce Type: new Abstract: Deploying 6G network slices across administrative domains requires an online decision for each arriving request: which domain hosts each virtual network function, how traffic crosses domain boundaries, and whether the slice is admit…

  2. arXiv cs.MA (Multiagent) TIER_1 English(EN) · Nour-El-Houda Yellas ·

    ORION: An Outcome-Driven LLM Advisor for RL-Based Multi-Domain 6G Slice Placement

    Deploying 6G network slices across administrative domains requires an online decision for each arriving request: which domain hosts each virtual network function, how traffic crosses domain boundaries, and whether the slice is admitted. This joint decision problem is NP-hard unde…

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