New network architectures, such as the Internet of Things (IoT), 5G, and next-generation (NextG) cellular systems, put forward emerging challenges to the design of future wireless networks toward ultra-high data rate, massive data processing, smart designs, low-cost deployment, reliability and security in dynamic environments. As one of the most promising techniques today, artificial intelligence (AI) is advocated to enable a data-driven paradigm for wireless network design. In this paper, we are motivated to review existing AI techniques and their applications for the full wireless network protocol stack toward improving network performance and security. Our goal is to summarize the current motivation, challenges, and methodology of using AI to enhance wireless networking from the physical to the application layer, and shed light on creating new AI-enabled algorithms, mechanisms, protocols, and system designs for future data-driven wireless networking.

翻译：新兴网络架构，如物联网（IoT）、5G及下一代（NextG）蜂窝系统，对未来无线网络的设计提出了严峻挑战，需在动态环境中实现超高数据速率、海量数据处理、智能设计、低成本部署、可靠性与安全性。作为当今最具前景的技术之一，人工智能（AI）被倡导用于实现无线网络设计的数据驱动范式。本文旨在综述现有AI技术及其在完整无线网络协议栈中的应用，以提升网络性能与安全性。我们的目标是总结当前利用AI增强无线网络（从物理层到应用层）的动机、挑战与方法论，并揭示面向未来数据驱动无线网络的新型AI赋能算法、机制、协议及系统设计的创建路径。