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. 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.

中文翻译：

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人工智能赋能的智能6G网络


随着智能终端和基础设施的快速发展，以及多样化应用（如虚拟和增强现实、远程手术和全息投影）的多样化需求，现有网络（如4G和即将推出的5G网络）可能无法完全满足需求。满足快速增长的流量需求。相应地，工业界和学术界都已经投入了6G网络的研究。最近，人工智能（Ai）已被用作高智能水平的6G网络设计和优化的新范式。因此，本文提出了一种面向6G网络的人工智能智能架构，以实现知识发现、智能资源管理、自动网络调整和智能服务提供，该架构分为四层：智能感知层、数据挖掘和分析层、智能控制层和智能应用层。然后，我们回顾和讨论了人工智能技术在6G网络中的应用，并详细阐述了如何利用人工智能技术高效、有效地优化网络性能，包括人工智能赋能的移动边缘计算、智能移动和切换管理以及智能频谱管理。我们重点介绍人工智能支持的智能 6G 网络的未来重要研究方向和潜在解决方案，包括计算效率、算法鲁棒性、硬件开发和能源管理。