Parameter Estimation-Aided Conditional Handover

Conditional Handover (CHO), a state-of-the-art handover technique designed exclusively for 5G, decouples the preparation and execution phases of the traditional handover process and aims to reduce wrong cell selection by a list of target cells. Despite its advantages, static parameter configuration limitations compromise CHO performance. This paper introduces a parameter estimation mechanism for CHO in 5G networks. Our proposal, an autotuning parameter mechanism for CHO, is an automated method for estimating and optimizing CHO parameters, which can adjust key parameters in fine-tuning the conditions that trigger the execution stage of the handover process. We compared our proposal with CHO by Ping-Pong handovers and radio link errors in the simulation.