AI-Powered 6G Networks: Enabling Intelligent Connectivity for Future Smart Systems

Abstract

The evolution toward 6G networks is expected to revolutionize connectivity by integrating Artificial Intelligence directly into communication infrastructures. This paper reviews AI-driven techniques in 6G, including intelligent resource allocation, network slicing, and self-optimizing communication systems. It explores the role of machine learning in enhancing ultra-low latency, high reliability, and massive device connectivity required for smart cities and IoT ecosystems. Challenges such as data privacy, network security, and infrastructure complexity are discussed. The study concludes with future research directions in AI-native networks and autonomous communication frameworks.