Conflict resolution strategy in handover management for 4G and 5G networks

Fifth-generation (5G) cellular networks offer high transmission rates in dense urban environments. However, a massive deployment of small cells will be required to provide wide-area coverage, which leads to an increase in the number of handovers (HOs). Mobility management is an important issue that...

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Main Authors: Alhammadi, Abdulraqeb, Hassan, Wan Haslina, El-Saleh, Ayman A., Shayea, Ibraheem, Mohamad, Hafizal, Daradkeh, Yousef Ibrahim
Format: Article
Language:English
Published: Tech Science Press 2022
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Online Access:http://eprints.utm.my/103257/1/WanHaslinaHassan2022_ConflictResolutionStrategyinHandoverManagement.pdf
http://eprints.utm.my/103257/
http://dx.doi.org/10.32604/cmc.2022.024713
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Institution: Universiti Teknologi Malaysia
Language: English
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spelling my.utm.1032572023-10-24T10:04:15Z http://eprints.utm.my/103257/ Conflict resolution strategy in handover management for 4G and 5G networks Alhammadi, Abdulraqeb Hassan, Wan Haslina El-Saleh, Ayman A. Shayea, Ibraheem Mohamad, Hafizal Daradkeh, Yousef Ibrahim T Technology (General) Fifth-generation (5G) cellular networks offer high transmission rates in dense urban environments. However, a massive deployment of small cells will be required to provide wide-area coverage, which leads to an increase in the number of handovers (HOs). Mobility management is an important issue that requires considerable attention in heterogeneous networks, where 5G ultra-dense small cells coexist with current fourth-generation (4G) networks. Althoughmobility robustness optimization (MRO) and load balancing optimization (LBO) functions have been introduced in the 3GPP standard to address HO problems, non-robust and nonoptimal algorithms for selecting appropriateHOcontrol parameters (HCPs) still exist, and an optimal solution is subjected to compromise between LBO andMROfunctions. Thus,HOdecision algorithms become inefficient. This paper proposes a conflict resolution technique to address the contradiction between MRO and LBO functions. The proposed technique exploits received signal reference power (RSRP), cell load and user speed to adapt HO margin (HM) and time to trigger (TTT). EstimatedHMand TTT depend on a weighting function andHO type which is represented by user status duringmobility. The proposed technique is validated with other existing algorithms fromthe literature. Simulation results demonstrate that the proposed technique outperforms existing algorithms overall performance metrics. The proposed technique reduces the overall average HO ping-pong probability, HO failure rate and interruption time by more than 90%, 46% and 58%, respectively, compared with the other schemes overall speed scenarios and simulation time. Tech Science Press 2022 Article PeerReviewed application/pdf en http://eprints.utm.my/103257/1/WanHaslinaHassan2022_ConflictResolutionStrategyinHandoverManagement.pdf Alhammadi, Abdulraqeb and Hassan, Wan Haslina and El-Saleh, Ayman A. and Shayea, Ibraheem and Mohamad, Hafizal and Daradkeh, Yousef Ibrahim (2022) Conflict resolution strategy in handover management for 4G and 5G networks. Computers, Materials and Continua, 72 (3). pp. 5215-5232. ISSN 1546-2218 http://dx.doi.org/10.32604/cmc.2022.024713 DOI : 10.32604/cmc.2022.024713
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
language English
topic T Technology (General)
spellingShingle T Technology (General)
Alhammadi, Abdulraqeb
Hassan, Wan Haslina
El-Saleh, Ayman A.
Shayea, Ibraheem
Mohamad, Hafizal
Daradkeh, Yousef Ibrahim
Conflict resolution strategy in handover management for 4G and 5G networks
description Fifth-generation (5G) cellular networks offer high transmission rates in dense urban environments. However, a massive deployment of small cells will be required to provide wide-area coverage, which leads to an increase in the number of handovers (HOs). Mobility management is an important issue that requires considerable attention in heterogeneous networks, where 5G ultra-dense small cells coexist with current fourth-generation (4G) networks. Althoughmobility robustness optimization (MRO) and load balancing optimization (LBO) functions have been introduced in the 3GPP standard to address HO problems, non-robust and nonoptimal algorithms for selecting appropriateHOcontrol parameters (HCPs) still exist, and an optimal solution is subjected to compromise between LBO andMROfunctions. Thus,HOdecision algorithms become inefficient. This paper proposes a conflict resolution technique to address the contradiction between MRO and LBO functions. The proposed technique exploits received signal reference power (RSRP), cell load and user speed to adapt HO margin (HM) and time to trigger (TTT). EstimatedHMand TTT depend on a weighting function andHO type which is represented by user status duringmobility. The proposed technique is validated with other existing algorithms fromthe literature. Simulation results demonstrate that the proposed technique outperforms existing algorithms overall performance metrics. The proposed technique reduces the overall average HO ping-pong probability, HO failure rate and interruption time by more than 90%, 46% and 58%, respectively, compared with the other schemes overall speed scenarios and simulation time.
format Article
author Alhammadi, Abdulraqeb
Hassan, Wan Haslina
El-Saleh, Ayman A.
Shayea, Ibraheem
Mohamad, Hafizal
Daradkeh, Yousef Ibrahim
author_facet Alhammadi, Abdulraqeb
Hassan, Wan Haslina
El-Saleh, Ayman A.
Shayea, Ibraheem
Mohamad, Hafizal
Daradkeh, Yousef Ibrahim
author_sort Alhammadi, Abdulraqeb
title Conflict resolution strategy in handover management for 4G and 5G networks
title_short Conflict resolution strategy in handover management for 4G and 5G networks
title_full Conflict resolution strategy in handover management for 4G and 5G networks
title_fullStr Conflict resolution strategy in handover management for 4G and 5G networks
title_full_unstemmed Conflict resolution strategy in handover management for 4G and 5G networks
title_sort conflict resolution strategy in handover management for 4g and 5g networks
publisher Tech Science Press
publishDate 2022
url http://eprints.utm.my/103257/1/WanHaslinaHassan2022_ConflictResolutionStrategyinHandoverManagement.pdf
http://eprints.utm.my/103257/
http://dx.doi.org/10.32604/cmc.2022.024713
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