AI 中文总结
该研究提出了AI-EDGE参考架构，通过信息腰实现智能应用与智能网络的协同交互，适配O-RAN等平台，可提升网络与AI应用的协同性能。
AI 中文摘要
网络正越来越多地采用人工智能，人工智能应用也越来越多地利用网络。网络与人工智能应用之间的感知共享有望释放更高水平的网络利用率和应用性能，但当前互联网架构对此的支持不足。本文描述了一种参考架构，它通过信息腰抽象地实现智能应用与智能网络的协同交互，同时支持网络中新兴智能平面内的网络智能服务。我们讨论了AI-EDGE架构的基本原理、功能需求和核心抽象，提出了核心抽象的参考组件级设计，以支持在现有无线网络平台（基于O-RAN蜂窝网络）和边缘计算平台（基于3GPP边缘应用和ETSI MEC）上的实验与开发。此外，我们从不同类型用户的角度提供了代表性用例，展示了该架构在感知共享、可移植性、原型设计和验证场景中的优势。
英文摘要
Networks are increasingly adopting AI as are AI applications leveraging networks. Awareness sharing between networks and AI applications promises to unlock higher levels of network utilization and application performance, but is inadequately supported in the current architecture of the Internet. In this paper, we describe a reference architecture that abstractly enables the synergistic interaction of intelligent applications and the intelligent network, via an information waist, and also supports the network intelligence services in the emerging intelligence plane in networks. We discuss the rationale for our AI-EDGE architecture, its functional requirements, and the core abstractions. We present a reference component-level design of the core abstractions to support experimentation and development on existing platforms for wireless networking (i.e., based on O-RAN cellular networks) and edge computing (i.e., based on 3GPP Edge App and ETSI MEC). Moreover, we provide representative use cases from the perspective of different types of users that demonstrate the benefits of the architecture in contexts of awareness sharing, portability, prototyping, and validation.
