Handover parameters optimisation techniques in 5G networks

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...

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Main Authors: Saad, Wasan Kadhim, Shayea, Ibraheem, Hamza, Bashar J., Hafizal, Mohamad, Daradkeh, Yousef Ibrahim, Jabbar, Waheb A.
Format: Article
Language:English
Published: MDPI 2021
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/32272/1/Handover%20parameters%20optimisation%20tchniques%20in%205G%20networks.pdf
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author Saad, Wasan Kadhim
Shayea, Ibraheem
Hamza, Bashar J.
Hafizal, Mohamad
Daradkeh, Yousef Ibrahim
Jabbar, Waheb A.
author_facet Saad, Wasan Kadhim
Shayea, Ibraheem
Hamza, Bashar J.
Hafizal, Mohamad
Daradkeh, Yousef Ibrahim
Jabbar, Waheb A.
author_sort Saad, Wasan Kadhim
collection UMP
description 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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spelling UMPir322722021-11-18T02:44:51Z http://umpir.ump.edu.my/id/eprint/32272/ Handover parameters optimisation techniques in 5G networks Saad, Wasan Kadhim Shayea, Ibraheem Hamza, Bashar J. Hafizal, Mohamad Daradkeh, Yousef Ibrahim Jabbar, Waheb A. TK Electrical engineering. Electronics Nuclear engineering 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. MDPI 2021-07-31 Article PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/32272/1/Handover%20parameters%20optimisation%20tchniques%20in%205G%20networks.pdf Saad, Wasan Kadhim and Shayea, Ibraheem and Hamza, Bashar J. and Hafizal, Mohamad and Daradkeh, Yousef Ibrahim and Jabbar, Waheb A. (2021) Handover parameters optimisation techniques in 5G networks. Sensors, 21 (15). pp. 1-22. ISSN 1424-8220. (Published) https://doi.org/10.3390/s21155202 https://doi.org/10.3390/s21155202
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Saad, Wasan Kadhim
Shayea, Ibraheem
Hamza, Bashar J.
Hafizal, Mohamad
Daradkeh, Yousef Ibrahim
Jabbar, Waheb A.
Handover parameters optimisation techniques in 5G networks
title Handover parameters optimisation techniques in 5G networks
title_full Handover parameters optimisation techniques in 5G networks
title_fullStr Handover parameters optimisation techniques in 5G networks
title_full_unstemmed Handover parameters optimisation techniques in 5G networks
title_short Handover parameters optimisation techniques in 5G networks
title_sort handover parameters optimisation techniques in 5g networks
topic TK Electrical engineering. Electronics Nuclear engineering
url http://umpir.ump.edu.my/id/eprint/32272/1/Handover%20parameters%20optimisation%20tchniques%20in%205G%20networks.pdf
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AT hafizalmohamad handoverparametersoptimisationtechniquesin5gnetworks
AT daradkehyousefibrahim handoverparametersoptimisationtechniquesin5gnetworks
AT jabbarwaheba handoverparametersoptimisationtechniquesin5gnetworks