Adaptive handover control parameters over voronoi-based 5G networks

dc.authorid0000-0001-9474-7372
dc.contributor.authorTashan, Waheeb
dc.contributor.authorShayea, Ibraheem
dc.contributor.authorSheikh, Muntasir
dc.contributor.authorArslan, Hüseyin
dc.contributor.authorEl-Saleh, Ayman A.
dc.contributor.authorAli Saad, Sawsan
dc.date.accessioned2024-06-11T07:10:54Z
dc.date.available2024-06-11T07:10:54Z
dc.date.issued2024
dc.departmentİstanbul Medipol Üniversitesi, Mühendislik ve Doğa Bilimleri Fakültesi, Elektrik ve Elektronik Mühendisliği Bölümü
dc.description.abstractVarious speed scenarios such as high-speed travelling trains and connected drones over ultra-dense heterogeneous networks (HetNets) may result in a large number of handovers (HOs), which may cause further mobility challenges. Therefore, mobility robustness optimization (MRO) function has been proposed to contribute for detecting and correcting the mobility issues including too late HO, too early HO, and HO to the wrong cells. This function can be more effective in reducing these challenges related to mobility when proper optimization settings is performed for the handover control parameters (HCPs) (i.e., time-to-trigger (TTT) and handover margin (HOM)). In this paper, a trigger timer is proposed to reduce the unnecessary HOs. Meanwhile, this work proposes a weighted algorithm for optimizing the HCPs automatically based network experiences. The proposed algorithm rely on various factors for performing the optimization process. That includes, mobile movement speed, network traffic load, and the measurement report of the received signal reference power. Research work conducted by Matlab simulator that implement HetNets that consider Fifth Generation (5G) network and system settings based on 3GPP. Besides, 15 users were investigated using several mobile speed scenarios over Voronoi 5G network. The simulation results show that a significant achievement has been performed by the proposed algorithm as compared to the other algorithms investigated from the literature. The proposed algorithm has minimized the Radio Link Failure (RLF), Handover Ping-Pong (HOPP), Handover Probability (HOP), and handover interruption time by 8.8 %, 6.9 %, 6.7 %, and 344 %, respectively, lower than the other algorithms presented.
dc.description.sponsorshipInstitutional Fund Projectsen_US
dc.description.sponsorshipMinistry of Education and King Abdulaziz University, DSR, Jeddah, Saudi Arabiaen_US
dc.identifier.citationTashan, W., Shayea, I., Sheikh, M., Arslan, H., ElnSaleh, A. A. ve Ali Saad, S. (2024). Adaptive handover control parameters over voronoi-based 5G networks. Engineering Science and Technology, an International Journal, 54. http://dx.doi.org/10.1016/j.jestch.2024.101722
dc.identifier.doi10.1016/j.jestch.2024.101722
dc.identifier.issn2215-0986
dc.identifier.scopus2-s2.0-85194496664
dc.identifier.scopusqualityQ1
dc.identifier.urihttp://dx.doi.org/10.1016/j.jestch.2024.101722
dc.identifier.urihttps://hdl.handle.net/20.500.12511/12612
dc.identifier.volume54
dc.identifier.wos001247642700002en_US
dc.identifier.wosqualityQ1
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.institutionauthorTashan, Waheeb
dc.institutionauthorArslan, Hüseyin
dc.language.isoen
dc.relation.ispartofEngineering Science and Technology, an International Journalen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsAttribution 4.0 International*
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/*
dc.subject5G Network
dc.subjectHandover
dc.subjectHandover Control Parameters
dc.subjectMobility
dc.subjectMobility Robustness Optimization
dc.titleAdaptive handover control parameters over voronoi-based 5G networks
dc.typeArticle

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