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dc.contributor.advisorKaraşan, Ezhan
dc.contributor.authorAykın, Irmak
dc.date.accessioned2016-07-01T11:10:26Z
dc.date.available2016-07-01T11:10:26Z
dc.date.issued2014
dc.identifier.urihttp://hdl.handle.net/11693/30006
dc.descriptionCataloged from PDF version of article.en_US
dc.description.abstractHeterogeneous networks (HetNets) are proposed in order to meet the increasing demand for next generation cellular wireless networks, but they also increase the energy consumption of the base stations. In this thesis, an activity management algorithm for improving the energy efficiency of HetNets is proposed. A smart sleep strategy is employed for the operator deployed pico base stations to enter sleep and active modes. According to that strategy, when the number of users exceeds the turn on threshold, the pico node becomes active and when the number of users drop below the turn off threshold, it goes into sleep mode. Mobile users dynamically enter and leave the cells, triggering the activation and deactivation of pico base stations. The performance of the system is examined for three different cellular network architectures: cell on edge (COE), uniformly distributed cells (UDC) and macro cell only network (MoNet). Two different user distributions are considered: uniform and hotspot. The effects of number of hotspot users and sleep energies of pico nodes on the energy efficiency are also investigated. The proposed activity management algorithm increases the energy efficiency, measured in bits/J, by 20%. The average bit rates achieved by HetNet users increase by 29% compared with the MoNet architecture. Thus, the proposed activity control algorithm increases the spectral efficiency of the network while consuming the energy more efficiently.en_US
dc.description.statementofresponsibilityAykın, Irmaken_US
dc.format.extentxiii, 70 leaves, charts, plates, illustrationsen_US
dc.language.isoEnglishen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectHeterogeneous networksen_US
dc.subjectSleep modeen_US
dc.subjectLTEen_US
dc.subjectActivity managementen_US
dc.subjectAlgorithmen_US
dc.subjectEnergy efficiencyen_US
dc.subjectSmall cellen_US
dc.subjectGreen communicationsen_US
dc.subject.lccQA76.88 .A95 2014en_US
dc.subject.lcshHeterogeneous computing.en_US
dc.titleActivity management algorithm for improving energy efficiency of small cell base stations in 5G heterogeneous networksen_US
dc.typeThesisen_US
dc.departmentDepartment of Electrical and Electronics Engineeringen_US
dc.publisherBilkent Universityen_US
dc.description.degreeM.S.en_US
dc.identifier.itemidB147486


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