Massive multiple-input multiple-output antenna systems, millimeter wave
communications, and ultra-dense networks have been widely perceived as the
three key enablers that facilitate the development and deployment of 5G
systems. This article discusses the intelligent agent in 5G base station which
combines sensing, learning, understanding and optimizing to facilitate these
enablers. We present a flexible, rapidly deployable, and cross-layer artificial
intelligence (AI)-based framework to enable the imminent and future demands on
5G and beyond infrastructure. We present example AI-enabled 5G use cases that
accommodate important 5G-specific capabilities and discuss the value of AI for
enabling beyond 5G network evolution.

本文介绍了用于 5G 基站的智能代理，该代理结合了感知、学习、理解和优化的功能以促进实现大规模多输入多输出天线系统、毫米波通信和超密集网络的发展和部署。我们提出了一种灵活、快速部署、跨层次的基于人工智能的框架，以满足即将到来和未来对 5G 及其之外基础设施的需求。我们提供了一些基于人工智能的 5G 应用示例，以适应 5G 特定的重要能力，并讨论了人工智能在推动 5G 进化以及 5G 之外的进一步网络演进方面的价值。