Intelligent Networking AI-Driven Optimization in 6g Communication Systems

Authors: Prithik R, Sukumar P

Abstract: As we approach the era of 6G, communication networks are evolving beyond traditional capabilities to become context-aware, self-healing, and intelligent. This paper explores the integration of Artificial Intelligence (AI) in next- generation communication systems, focusing on intelligent routing, dynamic bandwidth allocation, and latency minimization. We present a prototype model that employs reinforcement learning to optimize real-time traffic flow and network congestion in ultra-dense urban environments. The study also highlights key challenges in AI-network integration, including energy efficiency, data privacy, and interoperability. This framework aims to pave the way for seamless, high-speed, and intelligent global connectivity.