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dc.contributor.authorTung, Li-Pingen_US
dc.contributor.authorWang, Li-Chunen_US
dc.contributor.authorChen, Kuan-Shengen_US
dc.date.accessioned2018-08-21T05:56:44Z-
dc.date.available2018-08-21T05:56:44Z-
dc.date.issued2016-01-01en_US
dc.identifier.issn2325-2626en_US
dc.identifier.urihttp://hdl.handle.net/11536/146581-
dc.description.abstractSmall cells have been proposed to improve the signal quality of cell edge users and enhance the serving coverage. But a large number of small cells will cause severe interference and high energy consumption. Hence, green communication is an important issue. The main contribution of this paper is to provide an interference-aware small cell on/off mechanism in a downlink heterogeneous network system to reduce inter-cell interference in the sense of energy saving. Two criteria for the small cell on/off mechanism are proposed; one is based on the generated interference (GI) and the other is based on the signal to generated interference ratio (SGIR). In addition, two selection rules are provided; one is the exhaustive search (ES) method and the other is the one time (OT) method. In hyper dense small cells deployment scenario, our interference-aware small cell on/off mechanism can efficiently reduce inter-cell interference to maximize the total network energy efficiency. Compare to the traditional UE-cell association approach, our method provide 47.38% improvement at lambda(b)/lambda(u) = 0 : 4 and 61.44% improvement lambda(b)/lambda(u) = 0 : 6.en_US
dc.language.isoen_USen_US
dc.subjectsmall cellen_US
dc.subjectsleep strategyen_US
dc.subjectenergy savingen_US
dc.subjectinter-cell interferenceen_US
dc.titleAn Interference-aware Small Cell on/off Mechanism in Hyper Dense Small Cell Networksen_US
dc.typeProceedings Paperen_US
dc.identifier.journal2017 INTERNATIONAL CONFERENCE ON COMPUTING, NETWORKING AND COMMUNICATIONS (ICNC)en_US
dc.citation.spage767en_US
dc.citation.epage771en_US
dc.contributor.department資訊工程學系zh_TW
dc.contributor.department電機工程學系zh_TW
dc.contributor.departmentDepartment of Computer Scienceen_US
dc.contributor.departmentDepartment of Electrical and Computer Engineeringen_US
dc.identifier.wosnumberWOS:000402039800137en_US
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