面向6G的大型电信模型，提升网络智能与用户体验
Large-Scale AI in Telecom: Charting the Roadmap for Innovation, Scalability, and Enhanced Digital Experiences
- 构建专用于电信的大型模型（LTMs），解决网络复杂性问题
- 覆盖网络管理、资源分配等多场景应用，推动系统智能化
- 为运营商提供可落地的6G智能演进路线，适合技术决策者
本文探讨大规模AI在电信行业的作用，聚焦生成式AI对网络功能和用户体验的变革潜力，尤其在6G系统背景下。重点介绍大型电信模型（LTMs）的发展与部署，这类定制化AI模型旨在应对现代电信网络面临的复杂挑战。论文涵盖LTMs的架构设计、部署策略及其在网络管理、资源分配与优化中的应用。同时分析了其在监管、伦理与标准化方面的考量，提出未来集成到电信基础设施的路径。目标是为运营商提供一份全面的路线图，以实现网络的可扩展性、性能提升与用户导向的创新。
原文摘要 · Abstract (English)
This white paper discusses the role of large-scale AI in the telecommunications industry, with a specific focus on the potential of generative AI to revolutionize network functions and user experiences, especially in the context of 6G systems. It highlights the development and deployment of Large Telecom Models (LTMs), which are tailored AI models designed to address the complex challenges faced by modern telecom networks. The paper covers a wide range of topics, from the architecture and deployment strategies of LTMs to their applications in network management, resource allocation, and optimization. It also explores the regulatory, ethical, and standardization considerations for LTMs, offering insights into their future integration into telecom infrastructure. The goal is to provide a comprehensive roadmap for the adoption of LTMs to enhance scalability, performance, and user-centric innovation in telecom networks.
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