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 paper conducts an exhaustive survey from dual standpoints: firstly, it scrutinizes the integration of LLMs and AIGC technologies within the domain of communication networks; secondly, 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.

翻译：以大型语言模型（LLMs）为主导的人工智能生成内容（AIGC）技术已在多种应用中展现出显著的性能提升，引起了学术界与工业界的广泛关注。尽管该领域已取得一些值得关注的进展，但关于AIGC与通信网络之间复杂关系的系统性探讨仍相对有限。为应对这一问题，本文从双重视角展开全面综述：首先，深入审视LLMs与AIGC技术在通信网络领域内的融合路径；其次，探究通信网络如何进一步赋能LLMs与AIGC的能力提升。此外，本研究探讨了将此类人工智能技术整合至通信网络过程中的潜在应用场景与面临挑战。通过这些细致分析，本文旨在深化对LLMs和AIGC如何协同促进先进智能通信网络发展的理解，为更深入认知下一代智能通信网络作出贡献。