中文标题#
基于边缘物联网网络的语义通信的大语言模型
英文标题#
Large Language Models (LLMs) for Semantic Communication in Edge-based IoT Networks
中文摘要#
随着第五代（5G）和第六代（6G）通信技术以及物联网（IoT）的出现，语义通信正引起研究人员的关注，因为当前的通信技术正在接近香农极限。 另一方面，大型语言模型（LLMs）可以在大量数据集上进行训练，具有数十亿个参数，能够理解和生成类似人类的文本。 考虑到最近的近源计算技术，如边缘计算，在本文中，我们概述了一个框架及其模块，其中 LLMs 可以在语义通信的范畴下在网络边缘用于物联网网络中的高效通信。 最后，我们讨论了一些应用，并分析了开发此类系统的挑战和机遇。
英文摘要#
With the advent of Fifth Generation (5G) and Sixth Generation (6G) communication technologies, as well as the Internet of Things (IoT), semantic communication is gaining attention among researchers as current communication technologies are approaching Shannon's limit. On the other hand, Large Language Models (LLMs) can understand and generate human-like text, based on extensive training on diverse datasets with billions of parameters. Considering the recent near-source computational technologies like Edge, in this article, we give an overview of a framework along with its modules, where LLMs can be used under the umbrella of semantic communication at the network edge for efficient communication in IoT networks. Finally, we discuss a few applications and analyze the challenges and opportunities to develop such systems.
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