AI-Based Communication

6G Semantic Communication Simulator with Python is an innovative simulation project designed to explore next-generation wireless communication using semantic information processing, intelligent data transmission, and network performance analysis. Developed with Python, this project demonstrates how semantic communication can prioritize meaningful information over conventional bit-level transmission to improve communication efficiency, reduce redundant data, and support intelligent 6G network applications. It provides a foundation for studying semantic similarity, transmission latency, bandwidth utilization, and AI-driven communication systems.