ISAC-Driven Software Development With Large Language Models: A Foundation for Enhanced Public Life Support

The rapid evolution of integrated sensing and communication (ISAC) technologies has created an unprecedented data overflow, making traditional analysis methods obsolete. The emergence of large language models (LLMs) such as ChatGPT has revolutionized various fields, including software engineering, by enabling the development of novel communication-aware software applications. This study explores the synergy between ISAC and LLMs in software development, using the Internet of Vehicle-Monitoring Software as a case study. The experimental data shows that without LLM, the average packet loss rate increases from 0.2% to 1.2%. It can be seen that the potential of ISAC-LLM integration is to release new opportunities for data-driven innovation by combining communication awareness technology with large-scale software development. By integrating communication awareness technology with large-scale software development, the potential of ISAC-LLM convergence is demonstrated in unlocking new opportunities for data-driven innovation. The research lays the foundation for further exploring the capabilities of LLMs in software development and harnessing their potential for transformative impact.