Intelligent Network

Intelligent networks aim to create self-managing and adaptive communication systems using artificial intelligence, primarily focusing on improving efficiency, performance, and resource allocation in increasingly complex networks like 5G and 6G. Current research heavily utilizes large language models (LLMs) and federated learning (FL) alongside traditional machine learning algorithms to achieve this, addressing challenges in areas such as network slicing, integrated satellite-terrestrial networks, and intrusion detection. This research is significant because it promises to optimize resource utilization, enhance network security, and ultimately enable more efficient and reliable global communication infrastructure.