Large Language Models (LLMs) for Semantic Communication in Edge-based IoT Networks

2024/07/30 by Alakesh Kalita, Kalita, Alakesh · 4 citations
Computer Science · Engineering · #Artificial Intelligence (cs.AI) #Cognitive Computing and Networks #FOS: Computer and information sciences #IoT and Edge/Fog Computing #Networking and Internet Architecture (cs.NI) #Robotics and Automated Systems

paper · pdf · doi:10.48550/arxiv.2407.20970

openalex publication_date 2024/07/30 · openalex created_date 2024/08/01 · openalex updated_date 2026/07/31

Abstract

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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