AI-driven paradigms in 6G

Data science (DS) and artificial intelligence (AI) can make a difference in wireless networks as we move toward 6G. Their integration can improve network efficiency, capacity, and reliability through intelligent automation and predictive analytics. AI-driven deep learning and machine learning (ML) techniques will enable optimized resource allocation, spectrum management, and fault detection, thus making it possible to obtain real-time decisions and adaptive network configurations. Data science techniques will be instrumental in gleaning actionable insights from the huge volumes of network data and hence fuel innovations in network design and personalization of user experience. Both, in turn, will aid the development of low-latency and ultra-reliable communication systems, facilitating the proliferation of Internet of Things (IoT) devices, autonomous systems, and immersive applications in the 6G era.