中文标题#
基於邊緣物聯網網絡的語義通信的大語言模型
英文标题#
Large Language Models (LLMs) for Semantic Communication in Edge-based IoT Networks
中文摘要#
隨著第五代（5G）和第六代（6G）通信技術以及物聯網（IoT）的出現，語義通信正引起研究人員的關注，因為當前的通信技術正在接近香農極限。另一方面，大型語言模型（LLMs）可以在大量數據集上進行訓練，具有數十億個參數，能夠理解和生成類似人類的文本。考慮到最近的近源計算技術，如邊緣計算，在本文中，我們概述了一個框架及其模塊，其中 LLMs 可以在語義通信的範疇下在網絡邊緣用於物聯網網絡中的高效通信。最後，我們討論了一些應用，並分析了開發此類系統的挑戰和機遇。
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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