AI-Powered Optimization: Revolutionizing 6G Networks for Efficiency and Performance
K. Tamilarasi, S. Pavithra, Ramya Rangarajan, Venyaa Venkataraman, Krithik Shankar P · 2024
This paper investigates the efficiency and performance gains that may be realized by integrating AI into 6G networks. In addition to covering power distribution, channel estimations, and security in 5G and 6G, it looks at the synergies between AI algorithms, machine learning models, and new communication technologies. The study covers AI-based channel estimation, DL models for cell-free networks, and deep reinforcement learning for beam training. It focusses on the shift from 5G to 6G, spotlighting innovations such as meta-surfaces and phased antenna arrays. All things considered, the study shows how important AI will be in building intelligent, flexible, and responsive mobile networks in the future.