NR Cell Identity-based Handover Decision-making Algorithm for High-speed Scenario within Dual Connectivity
Zhiyi Zhu, Eiji Takimoto, Patrick Finnertyn, Junjun Zheng, Shoma Suzuki, Chikara Ohta

TL;DR
This paper introduces a new handover decision algorithm for 5G networks that uses cell identity information to improve connection stability for high-speed mobile users.
Contribution
It proposes a novel NCI-based handover decision algorithm that considers gNB types to enhance high-speed UE communication stability.
Findings
Outperforms existing HDMAs in connection stability
Improves handover decision accuracy for high-speed UEs
Enhances overall network reliability in high-speed scenarios
Abstract
The dense deployment of 5G heterogeneous networks (HetNets) has improved network capacity. However, it also brings frequent and unnecessary handover challenges to high-speed mobile user equipment (UE), resulting in unstable communication and degraded quality of service. Traditional handovers ignore the type of target next-generation Node B (gNB), resulting in high-speed UEs being able to be handed over to any gNB. This paper proposes a NR cell identity (NCI)-based handover decision-making algorithm (HDMA) to address this issue. The proposed HDMA identifies the type of the target gNB (macro/small/mmWave gNB) using the gNB identity (ID) within the NCI to improve the handover decision-making strategy. The proposed HDMA aims to improve the communication stability of high-speed mobile UE by enabling high-speed UEs to identify the target gNB type during the HDMA using the gNB ID. Simulation…
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Taxonomy
TopicsWireless Body Area Networks
