Abstract
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.
Highlights
Licensee MDPI, Basel, Switzerland.The explosive growth of mobile communications, the diversity of networks, and three-dimensional (3D) mobile communications will radically increase mobile data demands, in which servicing will require a large number of user equipment (UE) for deploying huge amounts of small and interfering BSs [1,2,3]
With the rapid growth of the Internet of Things (IoT), the 3rd Generation Partnership Project (3GPP) proposed a new wireless network generation (5G) to address the numerous challenges faced by existing networks
The suggested method works to improve the performance of the system, as well as to reduce HO by 13.14%, 19.35% and 8.62% of the Radio Access Technologies (RATs) amendments for the technique for order preferences by similarity to the ideal solution (TOPSIS), preference ranking organization method for enrichment evaluation (PROMETHEE) and simple additive weighting (SAW) algorithms, respectively
Summary
Licensee MDPI, Basel, Switzerland.The explosive growth of mobile communications, the diversity of networks, and three-dimensional (3D) mobile communications (e.g., drones) will radically increase mobile data demands, in which servicing will require a large number of UEs for deploying huge amounts of small and interfering BSs [1,2,3]. With the rapid growth of the Internet of Things (IoT), the 3rd Generation Partnership Project (3GPP) proposed a new wireless network generation (5G) to address the numerous challenges faced by existing networks. An important and additional aspect discussed by 3GPP through the efforts of ongoing standardisation is the aspect of mobility in 5G networks. To become the new wireless standard to exist worldwide, 5G must allow for unrestricted user mobility while effectively managing itself. An essential component of MM is HO management, since HOs allow users to switch the network anchor point while maintaining service continuity through mobility events in existing cellular networks. Effective HO management will be vital due to the heterogeneous and extremely dense nature of 5G networks [5,6,7,8,9,10,11,12,13]
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