Publication:
Handover Parameters Optimisation Techniques in 5G Networks

dc.contributor.authorWasan Kadhim Saaden_US
dc.contributor.authorIbraheem Shayeaen_US
dc.contributor.authorBashar J. Hamzaen_US
dc.contributor.authorHafizal Mohamaden_US
dc.contributor.authorYousef Ibrahim Daradkehen_US
dc.contributor.authorWaheb A. Jabbaren_US
dc.date.accessioned2024-05-27T14:34:32Z
dc.date.available2024-05-27T14:34:32Z
dc.date.issued2021
dc.date.submitted2021-12-22
dc.descriptionSensors 2021, 21(15), 5202; https://doi.org/10.3390/s21155202en_US
dc.description.abstractThe 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.en_US
dc.identifier.citationSaad, Wasan Kadhim, Ibraheem Shayea, Bashar J. Hamza, Hafizal Mohamad, Yousef Ibrahim Daradkeh, and Waheb A. Jabbar. 2021. "Handover Parameters Optimisation Techniques in 5G Networks" Sensors 21, no. 15: 5202. https://doi.org/10.3390/s21155202en_US
dc.identifier.doi10.3390/s21155202
dc.identifier.epage22
dc.identifier.issn1424-8220
dc.identifier.issue15
dc.identifier.other2428-2
dc.identifier.spage1
dc.identifier.urihttps://www.mdpi.com/1424-8220/21/15/5202
dc.identifier.urihttps://oarep.usim.edu.my/handle/123456789/3224
dc.identifier.volume21
dc.language.isoenen_US
dc.publisherMultidisciplinary Digital Publishing Instituteen_US
dc.relation.ispartofSensorsen_US
dc.subjectload balancing (LB); handover (HO); handover control parameters (HCP); handover parameters optimisation (HPO); fifth generation (5G); sixth generation (6G) networksen_US
dc.titleHandover Parameters Optimisation Techniques in 5G Networksen_US
dc.typeArticleen_US
dspace.entity.typePublication

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