The success of Artificial Intelligence (AI) in multiple disciplines and vertical domains in recent years has promoted the evolution of mobile networking and the future Internet toward an AI-integrated Internet-of-Things (IoT) era. Nevertheless, most AI techniques rely on data generated by physical devices (e.g., mobile devices and network nodes) or specific applications (e.g., fitness trackers and mobile gaming). Therefore, Generative AI (GAI), a.k.a. AI-generated content (AIGC), has emerged as a powerful AI paradigm; thanks to its ability to efficiently learn complex data distributions and generate synthetic data to represent the original data in various forms. This impressive feature is projected to transform the management of mobile networking and diversify the current services and applications provided. On this basis, this work presents a concise tutorial on the role of GAIs in mobile and wireless networking. In particular, this survey first provides the fundamentals of GAI and representative GAI models, serving as an essential preliminary to the understanding of GAI's applications in mobile and wireless networking. Then, this work provides a comprehensive review of state-of-the-art studies and GAI applications in network management, wireless security, semantic communication, and lessons learned from the open literature. Finally, this work summarizes the current research on GAI for mobile and wireless networking by outlining important challenges that need to be resolved to facilitate the development and applicability of GAI in this edge-cutting area.

翻译：近年来，人工智能（AI）在多个学科与垂直领域的成功，推动了移动网络与未来互联网向着AI融合的物联网（IoT）时代演进。然而，大多数AI技术依赖于物理设备（例如移动设备与网络节点）或特定应用（例如健身追踪器与移动游戏）所产生的数据。因此，生成式人工智能（GAI），亦称AI生成内容（AIGC），作为一种强大的AI范式应运而生；这得益于其高效学习复杂数据分布并生成合成数据以多种形式表征原始数据的能力。这一令人瞩目的特性预计将变革移动网络的管理方式，并使当前提供的服务与应用多样化。基于此，本文对GAI在移动与无线网络中的作用进行了简明教程式阐述。具体而言，本综述首先介绍了GAI的基础知识与代表性GAI模型，作为理解GAI在移动与无线网络中应用的重要前提。随后，本文全面回顾了网络管理、无线安全、语义通信等领域的前沿研究与GAI应用，并总结了公开文献中的经验教训。最后，本文通过概述为促进GAI在这一前沿领域的开发与适用性而需解决的关键挑战，总结了当前GAI在移动与无线网络中的研究现状。