4.6 Article

Handover Parameters Optimisation Techniques in 5G Networks

Journal

SENSORS
Volume 21, Issue 15, Pages -

Publisher

MDPI
DOI: 10.3390/s21155202

Keywords

load balancing (LB); handover (HO); handover control parameters (HCP); handover parameters optimisation (HPO); fifth generation (5G); sixth generation (6G) networks

Funding

  1. Ministry of Higher Education & Scientific Research, Al-Furat Al-Awsat Technical University (ATU), Engineering Technical College-Najaf in Iraq
  2. International Fellowship for Outstanding Researchers Program of TUBITAK [118C276, 2232]
  3. Universiti Sains Islam Malaysia (USIM), Malaysia

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In the future mobile networks, the increase of mobile users will lead to a significant rise in handover scenarios and rates, while maintaining a stable and reliable connection for user equipment mobility will become a major concern. Different handover control parameter settings have been found to impact the performance of 5G networks, with lower HCP settings potentially offering better performance in certain scenarios.
The massive growth of mobile users will spread to significant numbers of small cells for the Fifth Generation (5G) mobile network, which will overlap the fourth generation (4G) network. A tremendous increase in handover (HO) scenarios and HO rates will occur. Ensuring stable and reliable connection through the mobility of user equipment (UE) will become a major problem in future mobile networks. This problem will be magnified with the use of suboptimal handover control parameter (HCP) settings, which can be configured manually or automatically. Therefore, the aim of this study is to investigate the impact of different HCP settings on the performance of 5G network. Several system scenarios are proposed and investigated based on different HCP settings and mobile speed scenarios. The different mobile speeds are expected to demonstrate the influence of many proposed system scenarios on 5G network execution. We conducted simulations utilizing MATLAB software and its related tools. Evaluation comparisons were performed in terms of handover probability (HOP), ping-pong handover probability (PPHP) and outage probability (OP). The 5G network framework has been employed to evaluate the proposed system scenarios used. The simulation results reveal that there is a trade-off in the results obtained from various systems. The use of lower HCP settings provides noticeable enhancements compared to higher HCP settings in terms of OP. Simultaneously, the use of lower HCP settings provides noticeable drawbacks compared to higher HCP settings in terms of high PPHP for all scenarios of mobile speed. The simulation results show that medium HCP settings may be the acceptable solution if one of these systems is applied. This study emphasises the application of automatic self-optimisation (ASO) functions as the best solution that considers user experience.

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