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、操控及修改有价值多样化数据的自动化方法。本综述论文聚焦于在移动边缘网络部署AIGC应用（如ChatGPT和Dall-E），即移动AIGC网络，在实时提供个性化定制AIGC服务的同时保障用户隐私。我们首先介绍生成式模型的基础知识及移动AIGC网络中AIGC服务的生命周期，包括数据采集、训练、微调、推理与产品管理。随后探讨支撑AIGC服务并支持用户在移动边缘网络访问AIGC的云-边-端协同基础设施与技术。进一步，我们探索移动AIGC网络驱动的创意应用与用例。此外，讨论部署移动AIGC网络面临的实施、安全与隐私挑战。最后，指出实现移动AIGC网络全面落地的未来研究方向与开放性问题。