AI-Driven NG-RAN Assisted Positioning in 3GPP 5G-Advanced

Positioning is a fundamental service provided by wireless cellular systems. With the growing prevalence of Artificial Intelligence (AI) and Machine Learning (ML) across various facets of wireless communication, these technologies present new opportunities to enhance positioning accuracy, reliability, and responsiveness. However, a critical gap exists in understanding how AI/ML algorithms can be effectively integrated and deployed within modern cellular networks, particularly 5G and beyond. This paper addresses key challenges in AI/ML assisted positioning at NG-RAN Nodes, focusing on optimizing data collection through both opportunistic and proactive approaches. The proposed features are designed to integrate seamlessly into existing systems while maintaining backward compatibility and minimizing disruptions to current location services and protocols. The findings provide valuable insights to advance assisted AI/ML positioning technologies in 5G-Advanced wireless networks.