AI-native RAN: implementation strategies

There is significant operator interest and ecosystem investment in AI-native RAN. However, there are barriers to deploying RAN and AI functions on common optimised infrastructure. We have identified three routes that operators can take towards AI-native RAN depending on their commercial objectives and existing infrastructure.

Questions answered in this report:

• What are the key benefits of deploying an AI-native RAN, and how do these differ from the benefits associated with current AI-enhanced RAN control?
• What are the challenges in deploying an AI-native RAN using current technologies?
• What is the optimal timeframe and deployment model for an operator that aims to move towards AI-native RAN, depending on its business model?
• What are the options for deploying AI-native RAN alongside existing RAN and cloud infrastructure, and what are the benefits and trade-offs?