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English(EN) Advanced AI Service Provisioning in O-RAN through LLM Engine Integration

LLM编排的AI可加速O-RAN服务提供

研究人员开发了一种双脑架构,将大型语言模型(LLM)集成到开放无线接入网(O-RAN)系统中。该方法使用基于LLM的编排器进行意图翻译和代码生成,并结合一个名为NeuralSmith的自动化机器学习引擎进行按需模型训练。该系统旨在简化O-RAN内AI应用程序的创建和部署,解决当前手动且缓慢的流程。 AI

影响 简化了电信基础设施中的AI集成,有可能加速5G及未来网络的发展。

排序理由 该集群包含一篇学术论文,详细介绍了O-RAN系统中AI集成的新架构。

在 arXiv cs.LG 阅读 →

AI 生成摘要 · Google Gemini · 来自 2 个来源。 我们如何撰写摘要 →

报道来源 [2]

  1. arXiv cs.LG TIER_1 English(EN) · Seyed Bagher Hashemi Natanzi, Pranshav Gajja, Bo Tang, Vijay K. Shah ·

    Advanced AI Service Provisioning in O-RAN through LLM Engine Integration

    arXiv:2605.23809v1 Announce Type: cross Abstract: The Open Radio Access Network (O-RAN) architecture allows AI to be embedded directly into the RAN through modular xApps and rApps, yet creating these applications collecting data, training models, writing code, and deploying them …

  2. arXiv cs.LG TIER_1 English(EN) · Vijay K. Shah ·

    Advanced AI Service Provisioning in O-RAN through LLM Engine Integration

    The Open Radio Access Network (O-RAN) architecture allows AI to be embedded directly into the RAN through modular xApps and rApps, yet creating these applications collecting data, training models, writing code, and deploying them safely remains slow and largely manual. Large Lang…