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dc.contributor.authorChen, Jun
dc.contributor.authorChang, Zheng
dc.contributor.authorGuo, Xijuan
dc.contributor.authorLi, Renchuan
dc.contributor.authorHämäläinen, Timo
dc.contributor.authorHan, Zhu
dc.date.accessioned2022-02-11T07:47:42Z
dc.date.available2022-02-11T07:47:42Z
dc.date.issued2021
dc.identifier.citationChen, J., Chang, Z., Guo, X., Li, R., Hämäläinen, T., & Han, Z. (2021). Resource Allocation and Computation Offloading for Multi-Access Edge Computing with Fronthaul and Backhaul Constraints. <i>IEEE Transactions on Vehicular Technology</i>, <i>70</i>(8), 8037-8049. <a href="https://doi.org/10.1109/TVT.2021.3090246" target="_blank">https://doi.org/10.1109/TVT.2021.3090246</a>
dc.identifier.otherCONVID_97946152
dc.identifier.urihttps://jyx.jyu.fi/handle/123456789/79747
dc.description.abstractEdge computing is able to provide proximity solutions for the future wireless network to accommodate different types of devices with various computing service demands. Meanwhile, in order to provide ubiquitous connectivities to massive devices over a relatively large area, densely deploying remote radio head (RRH) is considered as a cost-efficient solution. In this work, we consider a vertical and heterogeneous multi-access edge computing system. In the system, the RRHs are deployed for providing wireless access for the users and the edge node with computing capability can process the computation requests from the users. With the objective to minimize the total energy consumption for processing the computation task, a joint radio resource allocation and offloading decision optimization problem is presented under the explicit consideration of capacity constraints of fronthaul and backhaul links. Due to the non-convexity of the formulated problem, we divide the original problem into several sub-problems and address them accordingly to find the optimal solution. Extensive simulation studies are conducted and illustrated to evaluate the advantages of the proposed scheme.en
dc.format.mimetypeapplication/pdf
dc.language.isoeng
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.relation.ispartofseriesIEEE Transactions on Vehicular Technology
dc.rightsCC BY 4.0
dc.subject.othermulti-access edge computing
dc.subject.otherfronthaul/backhaul link
dc.subject.otheroffloading
dc.subject.otherresource allocation
dc.titleResource Allocation and Computation Offloading for Multi-Access Edge Computing with Fronthaul and Backhaul Constraints
dc.typearticle
dc.identifier.urnURN:NBN:fi:jyu-202202111485
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.description.reviewstatuspeerReviewed
dc.format.pagerange8037-8049
dc.relation.issn0018-9545
dc.relation.numberinseries8
dc.relation.volume70
dc.type.versionpublishedVersion
dc.rights.copyright© Authors, 2021
dc.rights.accesslevelopenAccessfi
dc.subject.ysoreunalaskenta
dc.subject.ysolangattomat verkot
dc.subject.ysooptimointi
dc.subject.ysolangaton tekniikka
dc.subject.ysoenergiankulutus (energiateknologia)
dc.subject.ysoresursointi
dc.format.contentfulltext
jyx.subject.urihttp://www.yso.fi/onto/yso/p39139
jyx.subject.urihttp://www.yso.fi/onto/yso/p24221
jyx.subject.urihttp://www.yso.fi/onto/yso/p13477
jyx.subject.urihttp://www.yso.fi/onto/yso/p23070
jyx.subject.urihttp://www.yso.fi/onto/yso/p2382
jyx.subject.urihttp://www.yso.fi/onto/yso/p24562
dc.rights.urlhttps://creativecommons.org/licenses/by/4.0/
dc.relation.doi10.1109/TVT.2021.3090246
jyx.fundinginformationThis work is partly supported by NSFC (No. 62071105), NSF of Hebei (No. E2017203351) and Key Research and Development Project of Hebei (No. 19252106D), NSF EARS-1839818, CNS1717454, CNS-1731424, and CNS-1702850.


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