With the rapid development of smart terminals and infrastructures, as well as
diversified applications (e.g., virtual and augmented reality, remote surgery
and holographic projection) with colorful requirements, current networks (e.g.,
4G and upcoming 5G networks) may not be able to completely meet quickly rising
traffic demands. Accordingly, efforts from both industry and academia have
already been put to the research on 6G networks. Recently, artificial
intelligence (AI) has been utilized as a new paradigm for the design and
optimization of 6G networks with a high level of intelligence. Therefore, this
article proposes an AI-enabled intelligent architecture for 6G networks to
realize knowledge discovery, smart resource management, automatic network
adjustment and intelligent service provisioning, where the architecture is
divided into four layers: intelligent sensing layer, data mining and analytics
layer, intelligent control layer and smart application layer. We then review
and discuss the applications of AI techniques for 6G networks and elaborate how
to employ the AI techniques to efficiently and effectively optimize the network
performance, including AI-empowered mobile edge computing, intelligent mobility
and handover management, and smart spectrum management. Moreover, we highlight
important future research directions and potential solutions for AI-enabled
intelligent 6G networks, including computation efficiency, algorithms
robustness, hardware development and energy management.

这篇文章提出了一种基于人工智能的 6G 网络智能架构，用于实现知识发现、智能资源管理、自动网络调整和智能服务提供。作者还回顾和讨论了 AI 技术在 6G 网络中的应用，并详细阐述了如何利用 AI 技术有效地优化网络性能，包括 AI 支持的移动边缘计算、智能移动和切换管理以及智能频谱管理。另外，作者强调了重要的未来研究方向和 AI-enabled 6G 网络的潜在解决方案，包括算法鲁棒性、计算效率、硬件开发和能源管理等。