Large Language Models and Artificial Intelligence Generated Content Technologies Meet Communication Networks

IF 8.9 1区 计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS IEEE Internet of Things Journal Pub Date : 2024-11-12 DOI:10.1109/JIOT.2024.3496491
Jie Guo;Meiting Wang;Hang Yin;Bin Song;Yuhao Chi;Fei Richard Yu;Chau Yuen
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Abstract

Artificial intelligence generated content (AIGC) technologies, with a predominance of large language models (LLMs), have demonstrated remarkable performance improvements in various applications, which have attracted great interests from both academia and industry. Although some noteworthy advancements have been made in this area, a comprehensive exploration of the intricate relationship between AIGC and communication networks remains relatively limited. To address this issue, this article conducts an exhaustive survey from dual standpoints: first, it scrutinizes the integration of LLMs and AIGC technologies within the domain of communication networks and second, it investigates how the communication networks can further bolster the capabilities of LLMs and AIGC. Additionally, this research explores the promising applications along with the challenges encountered during the incorporation of these AI technologies into communication networks. Through these detailed analyses, our work aims to deepen the understanding of how LLMs and AIGC can synergize with and enhance the development of advanced intelligent communication networks, contributing to a more profound comprehension of next-generation intelligent communication networks.
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大型语言模型和人工智能生成内容技术与通信网络相遇
人工智能生成内容(AIGC)技术以大型语言模型(llm)为主导,在各种应用中表现出显著的性能改进,引起了学术界和工业界的极大兴趣。尽管在这一领域取得了一些值得注意的进展,但对AIGC与通信网络之间复杂关系的全面探索仍然相对有限。为了解决这个问题,本文从两个角度进行了详尽的调查:首先,它仔细研究了通信网络领域内llm和AIGC技术的集成;其次,它研究了通信网络如何进一步增强llm和AIGC的能力。此外,本研究探讨了有前途的应用以及在将这些人工智能技术纳入通信网络期间遇到的挑战。通过这些详细的分析,我们的工作旨在加深对llm和AIGC如何协同和促进先进智能通信网络发展的理解,有助于更深入地理解下一代智能通信网络。
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来源期刊
IEEE Internet of Things Journal
IEEE Internet of Things Journal Computer Science-Information Systems
CiteScore
17.60
自引率
13.20%
发文量
1982
期刊介绍: The EEE Internet of Things (IoT) Journal publishes articles and review articles covering various aspects of IoT, including IoT system architecture, IoT enabling technologies, IoT communication and networking protocols such as network coding, and IoT services and applications. Topics encompass IoT's impacts on sensor technologies, big data management, and future internet design for applications like smart cities and smart homes. Fields of interest include IoT architecture such as things-centric, data-centric, service-oriented IoT architecture; IoT enabling technologies and systematic integration such as sensor technologies, big sensor data management, and future Internet design for IoT; IoT services, applications, and test-beds such as IoT service middleware, IoT application programming interface (API), IoT application design, and IoT trials/experiments; IoT standardization activities and technology development in different standard development organizations (SDO) such as IEEE, IETF, ITU, 3GPP, ETSI, etc.
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