Semantic communications and its application in various domain

Abstract

Semantic communication is an emerging paradigm in communication systems that emphasises on the conveyance of meaning and context over mere raw data. By leveraging advanced techniques in artificial intelligence (AI), natural language processing (NLP), and knowledge graphs, semantic communication focuses on ensuring information is transmitted as its core meaning rather than just data, promoting efficiency and decision-making in applications across various domains. This project aims to investigate the principles, key technologies, and applications of semantic communication in various domains such as autonomous vehicles, Internet of Things (IoT), image processing, and security risk detection. Semantic communication is assessed on how it can enhance system performance by reducing data transmission, improving real-time decision-making, and facilitating context-aware interactions. Through a comprehensive investigation, the project identifies the benefits, challenges, and prospects of integrating semantic communication into next-generation networks, such as 6G, and AI-driven systems. The results contribute to understanding how semantic communication can revolutionize various industries, delivering more meaningful, efficient, and reliable communication systems in real-world circumstances.