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dc.contributor.authorZolotukhin, Mikhail
dc.contributor.authorSayenko, Oleksandr
dc.contributor.authorHämäläinen, Timo
dc.date.accessioned2018-08-16T06:59:51Z
dc.date.available2020-10-25T22:35:11Z
dc.date.issued2018
dc.identifier.citationZolotukhin, M., Sayenko, O., & Hämäläinen, T. (2018). On Optimal Deployment of Low Power Nodes for High Frequency Next Generation Wireless Systems. <i>Computer Networks</i>, <i>144</i>, 120-140. <a href="https://doi.org/10.1016/j.comnet.2018.07.029" target="_blank">https://doi.org/10.1016/j.comnet.2018.07.029</a>
dc.identifier.otherCONVID_28203419
dc.identifier.otherTUTKAID_78483
dc.identifier.urihttps://jyx.jyu.fi/handle/123456789/59264
dc.description.abstractRecent development of wireless communication systems and standards is characterized by constant increase of allocated spectrum resources. Since lower frequency ranges cannot provide sufficient amount of bandwidth, new bands are allocated at higher frequencies, for which operators resort to deploy more base stations to ensure the same coverage and to utilize more efficiently higher frequencies spectrum. Striving for deployment flexibility, mobile operators can consider deploying low power nodes that could be either small cells connected via the wired backhaul or relays that utilize the same spectrum and the wireless access technology. However, even though low power nodes provide a greater flexibility in terms of where they can be deployed, they also create new challenges. In particular, it is often the case that operators need to balance carefully between how many additional low power nodes it is necessary to install versus potential gains of the whole system. Thus, in this study we aim to develop a model that can find optimal network configuration for low power nodes assisting operators network deployment process. The outcome of the analytical model is complemented by extensive dynamic system level simulations, by means of which we analyze overall system performance for the obtained solutions. We also show that deviations from optimal configurations can lead to significantly worse system performance.fi
dc.format.mimetypeapplication/pdf
dc.language.isoeng
dc.publisherElsevier BV
dc.relation.ispartofseriesComputer Networks
dc.rightsCC BY-NC-ND 4.0
dc.subject.othermulti-hop network
dc.subject.otherrelay
dc.subject.othersmall cell
dc.subject.otheroptimization
dc.subject.othergenetic algorithm
dc.titleOn Optimal Deployment of Low Power Nodes for High Frequency Next Generation Wireless Systems
dc.typearticle
dc.identifier.urnURN:NBN:fi:jyu-201808153846
dc.contributor.laitosInformaatioteknologian tiedekuntafi
dc.contributor.laitosFaculty of Information Technologyen
dc.contributor.oppiaineTietotekniikkafi
dc.contributor.oppiaineMathematical Information Technologyen
dc.type.urihttp://purl.org/eprint/type/JournalArticle
dc.date.updated2018-08-15T12:15:15Z
dc.description.reviewstatuspeerReviewed
dc.format.pagerange120-140
dc.relation.issn1389-1286
dc.relation.numberinseries0
dc.relation.volume144
dc.type.versionacceptedVersion
dc.rights.copyright© 2018 Elsevier B.V.
dc.rights.accesslevelopenAccessfi
dc.subject.ysolangattomat verkot
dc.subject.ysolangaton tiedonsiirto
dc.subject.ysooptimointi
dc.subject.ysogeneettiset algoritmit
dc.format.contentfulltext
jyx.subject.urihttp://www.yso.fi/onto/yso/p24221
jyx.subject.urihttp://www.yso.fi/onto/yso/p5445
jyx.subject.urihttp://www.yso.fi/onto/yso/p13477
jyx.subject.urihttp://www.yso.fi/onto/yso/p7987
dc.rights.urlhttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.relation.doi10.1016/j.comnet.2018.07.029


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CC BY-NC-ND 4.0
Except where otherwise noted, this item's license is described as CC BY-NC-ND 4.0