Mobility Enhancements Based on AI/ML for Mobile Networks

In mobile networks, the handover mechanism is crucial for ensuring seamless connectivity as User Equipment (UE) moves across different cells. While the 3rd Generation Partnership Project (3GPP) has continuously improved handover mechanisms from Release 16 to Release 18, the increasing complexity of the wireless environment presents new challenges. From Release 19 onwards, AI/ML has emerged as a transformative technology for mobility management. By harnessing large-scale data analysis, AI/ML facilitates intelligent prediction and adjustment of handover procedure, which drives overall network efficiency. This paper explores the integration of AI/ML techniques in mobility management, with a focus on the requirements outlined in Release 19. The proposed AI/ML-based handover scheme not only enhances the accuracy of handover decision but also reduces measurement and signalling overhead. The key contribution of this research lies in its potential to connect theoretical advancements with practical implementation, paving the way for smarter and more adaptive mobility management, which contributes to the evolution of more resilient and reliable network.