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Comparison of the proactive and reactive algorithms for load balancing in UDN networks

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dc.contributor Aalto-yliopisto fi
dc.contributor Aalto University en
dc.contributor.author Salhani, Mohamad
dc.date.accessioned 2021-03-22T07:06:24Z
dc.date.available 2021-03-22T07:06:24Z
dc.date.issued 2019-12-01
dc.identifier.citation Salhani , M 2019 , ' Comparison of the proactive and reactive algorithms for load balancing in UDN networks ' , JOURNAL OF COMMUNICATIONS , vol. 14 , no. 12 , pp. 1119-1126 . https://doi.org/10.12720/jcm.14.12.1119-1126 en
dc.identifier.issn 1796-2021
dc.identifier.other PURE UUID: 355f8ee0-df62-4740-8534-a8127cd299a2
dc.identifier.other PURE ITEMURL: https://research.aalto.fi/en/publications/355f8ee0-df62-4740-8534-a8127cd299a2
dc.identifier.other PURE LINK: http://www.scopus.com/inward/record.url?scp=85074716760&partnerID=8YFLogxK
dc.identifier.other PURE FILEURL: https://research.aalto.fi/files/56889043/20191111040106401_1.pdf
dc.identifier.uri https://aaltodoc.aalto.fi/handle/123456789/103176
dc.description OA-lehti, jossa ei rinnakkaistallennusmahdollisuutta.
dc.description.abstract Ultra-Dense Networks (UDNs) were introduced to support high data rate services and improve the network capacity. The load across the small cells is unevenly distributed owing to random deployment of small cells, the mobility of user equipments (UEs) and the preference of small cells during the selection/reselection. The unbalanced load causes performance degradation in both the throughput and successful handovers. Moreover, it may be responsible for radio link failures as well. To address this problem, this paper proposes different proactive algorithms to balance the load across UDN small cells and compare them to previous reactive algorithms. Proactive algorithms distribute the UEs, one by one, to the access points (APs), while the reactive ones are only triggered when the load of the chosen small-cell cluster reaches a predefined threshold. The numerical analysis shows that the load distribution achieved by the proactive algorithm with user rejection is better than that in the reactive algorithms by 34.97%.In addition, the impact of the small-cell cluster layout on the load balancing results is also studied in this paper. The results indicate that the load distribution and the balance improvement ratio in the intersecting small-cell model outperform those in the sequential small-cell one by 48.98% and 22.43%, respectively. en
dc.format.extent 8
dc.format.extent 1119-1126
dc.format.mimetype application/pdf
dc.language.iso en en
dc.publisher Engineering and Technology Publishing
dc.relation.ispartofseries JOURNAL OF COMMUNICATIONS en
dc.relation.ispartofseries Volume 14, issue 12 en
dc.rights openAccess en
dc.title Comparison of the proactive and reactive algorithms for load balancing in UDN networks en
dc.type A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä fi
dc.description.version Peer reviewed en
dc.contributor.department Department of Communications and Networking
dc.subject.keyword Intersecting small-cell model
dc.subject.keyword Proactive algorithm with rejection
dc.subject.keyword Proactive algorithm without rejection
dc.subject.keyword Reactive algorithms
dc.subject.keyword Sequential small-cell model
dc.subject.keyword UDN
dc.identifier.urn URN:NBN:fi:aalto-202103222454
dc.identifier.doi 10.12720/jcm.14.12.1119-1126
dc.type.version publishedVersion

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