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、操控和修改有价值且多样化数据的自动化方法。本综述论文聚焦于AIGC应用（如ChatGPT和Dall-E）在移动边缘网络中的部署，即移动AIGC网络，这些网络在实时提供个性化与定制化AIGC服务的同时保障用户隐私。我们首先介绍生成模型的背景与基本原理，以及移动AIGC网络中AIGC服务的生命周期，包括数据收集、训练、微调、推理和产品管理。随后，我们讨论了支持AIGC服务并让用户能在移动边缘网络中访问AIGC所需的协作式云-边缘-移动基础设施与技术。此外，我们探讨了由AIGC驱动的移动AIGC网络创意应用与用例。同时，我们阐述了部署移动AIGC网络在实现、安全及隐私方面面临的挑战。最后，我们指出了为实现移动AIGC网络全面落地的若干未来研究方向与待解决的关键问题。