Large Language Models Based Communication Simulation Platform

In recent years, Large Language Models (LLMs) have been widely used in various fields, including personalized education, data analysis, disease diagnosis, and engineering design. These advancements have opened new possibilities for wireless communication engineering. In this paper, we propose an LLM-based human-machine collaborative framework to generate a simulation platform for the communication system. The proposed framework effectively combines human experience with the powerful generative capabilities of LLMs through well-designed prompt engineering techniques, enhancing the design of wireless communication systems. Specifically, the proposed prompt engineering framework directs the LLM in tasks such as requirement elicitation, system modeling, and code generation for different modules of wireless communication systems. Parallel tests on the commercially mature LLMs like GPT-3.5 and Claude 3 further demonstrate that our approach can improve the efficiency, quality, and reliability of the design process.