Artificial Intelligence-Generated Content (AIGC) is an automated method for generating, manipulating, and modifying valuable and diverse data using AI algorithms creatively. This survey paper focuses on the deployment of AIGC applications, e.g., ChatGPT and Dall-E, at mobile edge networks, namely mobile AIGC networks, that provide personalized and customized AIGC services in real time while maintaining user privacy. We begin by introducing the background and fundamentals of generative models and the lifecycle of AIGC services at mobile AIGC networks, which includes data collection, training, finetuning, inference, and product management. We then discuss the collaborative cloud-edge-mobile infrastructure and technologies required to support AIGC services and enable users to access AIGC at mobile edge networks. Furthermore, we explore AIGCdriven creative applications and use cases for mobile AIGC networks. Additionally, we discuss the implementation, security, and privacy challenges of deploying mobile AIGC networks. Finally, we highlight some future research directions and open issues for the full realization of mobile AIGC networks.

翻译：人工智能生成内容（AIGC）是一种利用AI算法创造性生成、操控及修改高价值多样化数据的自动化方法。本综述聚焦于在移动边缘网络中部署AIGC应用（如ChatGPT与Dall-E），即移动AIGC网络，该网络可在实时提供个性化定制化AIGC服务的同时保障用户隐私。我们首先介绍生成模型的基础理论与核心机制，以及移动AIGC网络中AIGC服务的生命周期（涵盖数据采集、训练、微调、推理与产品管理）。继而探讨支撑AIGC服务并赋能用户在移动边缘网络接入AIGC所需的云-边-端协同基础设施与关键技术。此外，我们探索了移动AIGC网络中由AIGC驱动的创新应用场景与用例。进一步讨论部署移动AIGC网络时面临的实现、安全及隐私挑战。最后，针对移动AIGC网络的全面实现，提出若干未来研究方向与开放性问题。