6G网络新架构融合智能代理，降本增效并支持垂直行业服务
Advanced Architectures Integrated with Agentic AI for Next-Generation Wireless Networks
- 提出控制与用户面协同的6G架构，支持服务无缝扩展
- 设计实时学习智能体，优化能耗与计算资源分配
- 结合无服务器计算与光交换，实现低延迟高能效部署
本文研究了一系列前沿技术与架构创新，旨在简化网络运营、降低运营支出（OpEx），并推动新型服务模式的部署。重点包括：(i) 提出更高效的6G架构，控制面与用户面协同设计，支持服务的无缝扩展，并兼顾长期6G网络演进；(ii) 探索受限人工智能（AI）的先进操作技术，尤其聚焦于支持实时学习、优化能源消耗及计算资源分配的AI智能体设计；(iii) 识别支持跨多域后端服务编排的技术与架构，特别面向垂直行业应用的无服务器计算模型；(iv) 引入基于光通信的超高速、低延迟网络架构，采用快速光交换与实时控制，替代传统电子交换，使功耗降低一个数量级。
原文摘要 · Abstract (English)
This paper investigates a range of cutting-edge technologies and architectural innovations aimed at simplifying network operations, reducing operational expenditure (OpEx), and enabling the deployment of new service models. The focus is on (i) Proposing novel, more efficient 6G architectures, with both Control and User planes enabling the seamless expansion of services, while addressing long-term 6G network evolution. (ii) Exploring advanced techniques for constrained artificial intelligence (AI) operations, particularly the design of AI agents for real-time learning, optimizing energy consumption, and the allocation of computational resources. (iii) Identifying technologies and architectures that support the orchestration of backend services using serverless computing models across multiple domains, particularly for vertical industries. (iv) Introducing optically-based, ultra-high-speed, low-latency network architectures, with fast optical switching and real-time control, replacing conventional electronic switching to reduce power consumption by an order of magnitude.
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