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dc.contributor.authorChen, Jun-Quanen_US
dc.contributor.authorChu, Jui-Hungen_US
dc.contributor.authorFeng, Kai-Tenen_US
dc.date.accessioned2017-04-21T06:48:59Z-
dc.date.available2017-04-21T06:48:59Z-
dc.date.issued2015en_US
dc.identifier.isbn978-1-4799-8088-8en_US
dc.identifier.issn1550-2252en_US
dc.identifier.urihttp://hdl.handle.net/11536/134468-
dc.description.abstractThe adoption of femtocell networks is considered as a promising solution to resolve the poor received signal strength problem experienced by the user equipment (UE) located in the coverage hole or in indoor environment. The architecture of femtocell networks, which adopt cognitive radio (CR), centralized controlled by femtocell gateway (F-GW) is further proposed to enhance the system performance by accessing more licensed spectrums. However, more deployed femtocells lead to additional energy consumption and it has become a crucial challenge for mobile operators. In this paper, the spectrum selection with limited number of antennas (SSLNA) is proposed to derive the target spectrum with consideration of hardware limitation of both femtocell access points (FAPs) and UEs. Based on the spectrum selection policies, the energy-efficient joint resource block (RB) and power allocation (EJRPA) scheme is proposed to improve the system energy efficiency. To avoid large amount of communicational load and complex computation for both F-GW and FAPs, the energy efficiency optimization problem is transformed into a two-layer problem solved respectively by F-GW and FAPs when the EJRPA is adopted. Simulation results show that better system energy efficiency can be achieved by adopting the proposed schemes.en_US
dc.language.isoen_USen_US
dc.titleEnergy-Efficient Spectrum Selection and Resource Allocation in Downlink Cognitive Femtocell Networksen_US
dc.typeProceedings Paperen_US
dc.identifier.journal2015 IEEE 81ST VEHICULAR TECHNOLOGY CONFERENCE (VTC SPRING)en_US
dc.contributor.department電機學院zh_TW
dc.contributor.departmentCollege of Electrical and Computer Engineeringen_US
dc.identifier.wosnumberWOS:000371404700235en_US
dc.citation.woscount0en_US
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