Unleashing the Power of Edge-Cloud Generative AI in Mobile Networks: A Survey of AIGC Services

IF 34.4 1区计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS

IEEE Communications Surveys and Tutorials Pub Date : 2024-01-12 DOI:10.1109/COMST.2024.3353265

Minrui Xu;Hongyang Du;Dusit Niyato;Jiawen Kang;Zehui Xiong;Shiwen Mao;Zhu Han;Abbas Jamalipour;Dong In Kim;Xuemin Shen;Victor C. M. Leung;H. Vincent Poor

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引用次数: 0

Abstract

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, fine-tuning, 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 AIGC-driven 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.

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在移动网络中释放边缘云生成式人工智能的力量：AIGC 服务调查

人工智能生成内容（AIGC）是一种利用人工智能算法创造性地生成、处理和修改有价值的多样化数据的自动化方法。本调查报告重点介绍在移动边缘网络（即移动 AIGC 网络）部署 AIGC 应用程序（如 ChatGPT 和 Dall-E），实时提供个性化和定制的 AIGC 服务，同时维护用户隐私。我们首先介绍了生成模型的背景和基本原理，以及移动 AIGC 网络 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。然后，我们将讨论支持 AIGC 服务所需的云-边缘-移动协作基础设施和技术，并使用户能够在移动边缘网络访问 AIGC。此外，我们还探讨了 AIGC 驱动的创意应用以及移动 AIGC 网络的使用案例。此外，我们还讨论了部署移动 AIGC 网络所面临的实施、安全和隐私方面的挑战。最后，我们强调了全面实现移动 AIGC 网络的一些未来研究方向和未决问题。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

IEEE Communications Surveys and Tutorials COMPUTER SCIENCE, INFORMATION SYSTEMS-TELECOMMUNICATIONS

CiteScore

80.20

自引率

2.50%

发文量

审稿时长

6 months

期刊介绍： IEEE Communications Surveys & Tutorials is an online journal published by the IEEE Communications Society for tutorials and surveys covering all aspects of the communications field. Telecommunications technology is progressing at a rapid pace, and the IEEE Communications Society is committed to providing researchers and other professionals the information and tools to stay abreast. IEEE Communications Surveys and Tutorials focuses on integrating and adding understanding to the existing literature on communications, putting results in context. Whether searching for in-depth information about a familiar area or an introduction into a new area, IEEE Communications Surveys & Tutorials aims to be the premier source of peer-reviewed, comprehensive tutorials and surveys, and pointers to further sources. IEEE Communications Surveys & Tutorials publishes only articles exclusively written for IEEE Communications Surveys & Tutorials and go through a rigorous review process before their publication in the quarterly issues. A tutorial article in the IEEE Communications Surveys & Tutorials should be designed to help the reader to become familiar with and learn something specific about a chosen topic. In contrast, the term survey, as applied here, is defined to mean a survey of the literature. A survey article in IEEE Communications Surveys & Tutorials should provide a comprehensive review of developments in a selected area, covering its development from its inception to its current state and beyond, and illustrating its development through liberal citations from the literature. Both tutorials and surveys should be tutorial in nature and should be written in a style comprehensible to readers outside the specialty of the article.