Mobility Performance Analysis of RACH Optimization Based on Decision Tree Supervised Learning for Conditional Handover in 5G Beamformed Networks

• DOI: 10.48550/arxiv.2309.09840
• Publication Date: 2023-01-01
• Authors: Subhyal Bin Iqbal; Umur Karabulut; Ahmad Awada; André Noll Barreto; Philipp Schulz; Gerhard Fettweis
• Keywords: Soft handover; Robustness

In 5G cellular networks, frequency range 2 (FR2) introduces higher frequencies that cause rapid signal degradation and challenge user mobility. recent studies, a conditional handover procedure has been adopted as an enhancement to baseline enhance mobility robustness. this article, the performance of is analyzed for mm-wave network in FR2 employs beamforming. addition, resource-efficient random access proposed increases probability contention-free during handover. Moreover, simple yet effective decision tree-based supervised learning method minimize failures are caused by beam preparation phase procedure. Results have shown tradeoff exists between failures. It also seen optimum operation point achievable with algorithm comparison carried out. while causes fewer than handover, total number latter less due decoupling execution phases.