Network Intelligence

Network intelligence aims to imbue network systems with the ability to autonomously manage resources and optimize performance, primarily through the integration of artificial intelligence. Current research heavily focuses on applying federated learning, large language models, and reinforcement learning algorithms to address challenges like communication overhead, data heterogeneity, and efficient resource allocation in diverse network environments, including 5G/6G and vehicular networks. This field is crucial for enabling fully automated, adaptable, and high-performance networks, impacting both the development of advanced network architectures and the optimization of various applications, such as multimedia services and traffic engineering.