为无线电接入网络提供GenAI驱动的代理架构的标准化
Zeinab Nezami1,2, Syed Ali Raza Zaidi1, Maryam Hafeez1
1School of Electronic and Electrical Engineering, University of Leeds, Leeds, United Kingdom.
Frontiers in artificial intelligence
|August 6, 2025
概括
无线接入网络 (RAN) 中的生成人工智能 (GenAI) 提供了新的自动化潜力. 标准化GenAI代理架构对于智能6G网络操作和优化至关重要.
科学领域:
- 电信工程 电信工程 电信工程
- 人工智能的人工智能
- 网络自动化 网络自动化
背景情况:
- 在无线电接入网络 (RAN) 中采用生成人工智能 (GenAI) 为增强自动化和智能提供了机会.
- 大型语言模型 (LLM) 是开发用于网络规划,执行和实时优化的 GenAI 驱动代理的关键.
研究的目的:
- 强调对RAN的代理架构进行标准化的必要性,以创建无线接入网络操作 (RANOps) 和代理操作 (AgentOps) 的统一框架.
- 确定关键的挑战,并提出最佳实践,用于内存集成,工具生成,多代理编排和性能基准测试在GenAI内为RAN.
主要方法:
- 文献审查和概念框架开发,重点关注RAN中的GenAI应用.
- 确定标准化的关键领域,包括代理工具规范,针对RAN的LLM微调,验证框架和AI友好的文档.
主要成果:
- 确定了关键的标准化领域:代理工具规范,RAN特定的LLM微调,验证框架和AI友好的文档.
- 这项研究强调了需要一个蓝图,包括内存,工具生成和多代理编排的最佳实践.
结论:
- 在RAN中标准化GenAI代理架构对于在6G中推进AI驱动的网络自动化至关重要.
- 关于GenAI-for-RAN和GenAI-on-RAN的专门研究倡议是为了解决发现的差距和促进创新.
关键词:
6G网络中的6G网络.电信 电信 电信 电信 电信 电信 电信 电信代理式建筑 代理式建筑生成型的人工智能 (GenAI)大型语言模型 (LLM)无线电接入网络 (RAN) 是指无线电接入网络.标准化 标准化 标准化更多相关视频
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