Communication Network

Communication networks are being revolutionized by the integration of artificial intelligence, particularly large language models (LLMs) and reinforcement learning (RL), to improve efficiency, security, and adaptability. Current research focuses on applying these models to diverse tasks, including traffic analysis, anomaly detection, resource allocation, and network problem classification, often employing transformer architectures and Q-learning algorithms. This work aims to enhance network performance, optimize resource utilization, and improve the security of various network types, from home networks to large-scale communication systems and IoT deployments, impacting both theoretical understanding and practical applications.