Handover Parameters Optimisation Techniques in 5G Networks

Saad, Wasan Kadhim and Shayea, Ibraheem and Hamza, Bashar J. and Mohamad, Hafizal and Daradkeh, Yousef Ibrahim and Jabbar, Waheb A. (2021) Handover Parameters Optimisation Techniques in 5G Networks. Sensors, 21 (15). p. 5202. ISSN 1424-8220

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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.

Item Type: Article
Identification Number: https://doi.org/10.3390/s21155202
25 July 2021Accepted
31 July 2021Published Online
Uncontrolled Keywords: load balancing (LB), handover (HO), handover control parameters (HCP), handover parameters optimisation (HPO), fifth generation (5G), sixth generation (6G) networks
Subjects: CAH10 - engineering and technology > CAH10-01 - engineering > CAH10-01-08 - electrical and electronic engineering
Divisions: Faculty of Computing, Engineering and the Built Environment > School of Engineering and the Built Environment
Depositing User: Waheb Abdullah
Date Deposited: 03 Jan 2023 14:11
Last Modified: 03 Jan 2023 14:11
URI: https://www.open-access.bcu.ac.uk/id/eprint/14046

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