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dc.contributor.authorSigwele, Tshiamo*
dc.contributor.authorAlam, Atm S.*
dc.contributor.authorPillai, Prashant*
dc.contributor.authorHu, Yim Fun*
dc.date.accessioned2016-11-25T14:40:31Z
dc.date.available2016-11-25T14:40:31Z
dc.date.issued2017-01-15
dc.identifier.citationSigwele T, Alam AS, Pillai P and Hu YF (2017) Energy-efficient cloud radio access networks by cloud based workload consolidation for 5G. Journal of Network and Computer Applications. 78: 1-8.en_US
dc.identifier.urihttp://hdl.handle.net/10454/10690
dc.descriptionYesen_US
dc.description.abstractNext-generation cellular systems like fth generation (5G) is are expected to experience tremendous tra c growth. To accommodate such tra c demand, there is a need to increase the network capacity that eventually requires the deployment of more base stations (BSs). Nevertheless, BSs are very expensive and consume a lot of energy. With growing complexity of signal processing, baseband units are now consuming a signi cant amount of energy. As a result, cloud radio access networks (C-RAN) have been proposed as anenergy e cient (EE) architecture that leverages cloud computing technology where baseband processing is performed in the cloud. This paper proposes an energy reduction technique based on baseband workload consolidation using virtualized general purpose processors (GPPs) in the cloud. The rationale for the cloud based workload consolidation technique model is to switch o idle baseband units (BBUs) to reduce the overall network energy consumption. The power consumption model for C-RAN is also formulated with considering radio side, fronthaul and BS cloud power consumption. Simulation results demonstrate that the proposed scheme achieves an enhanced energy performance compared to the existing distributed long term evolution (LTE) RAN system. The proposed scheme saves up to 80% of energy during low tra c periods and 12% during peak tra c periods compared to baseline LTE system. Moreover, the proposed scheme saves 38% of energy compared to the baseline system on a daily average.en_US
dc.language.isoenen_US
dc.relation.isreferencedbyhttp://dx.doi.org/10.1016/j.jnca.2016.11.005en_US
dc.rights© 2017 Elsevier. Reproduced in accordance with the publisher's self-archiving policy. This manuscript version is made available under the CC-BY-NC-ND 4.0 license (http://creativecommons.org/licenses/by-nc-nd/4.0/)en_US
dc.subjectCloud computing; C-RAN; Energy efficiency; Workload consolidation; Virtualisation; 5Gen_US
dc.titleEnergy-Efficient Cloud Radio Access Networks by Cloud Based Workload Consolidation for 5Gen_US
dc.status.refereedYesen_US
dc.date.Accepted2016-11-07
dc.date.application2016-11-12
dc.typeArticleen_US
dc.type.versionAccepted Manuscripten_US
refterms.dateFOA2018-07-26T09:11:16Z


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