AI-Native Radio Access Networks

In AI-native RAN, machine learning models continuously optimize parameters such as beamforming, handovers, and power allocation. This reduces energy consumption, improves user experience, and allows networks to autonomously recover from faults or respond to surges in demand at stadiums, events, or disaster zones.