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dc.contributor.authorLi, Pei-Rongen_US
dc.contributor.authorKuo, Chih-Weien_US
dc.contributor.authorFeng, Kai-Tenen_US
dc.contributor.authorChang, Tain-Saoen_US
dc.date.accessioned2017-04-21T06:49:00Z-
dc.date.available2017-04-21T06:49:00Z-
dc.date.issued2015en_US
dc.identifier.isbn978-1-4799-8088-8en_US
dc.identifier.issn1550-2252en_US
dc.identifier.urihttp://hdl.handle.net/11536/134490-
dc.description.abstractThe deployment of small cells with carrier aggregation (CA) technique is a significant feature of next-generation cellular networks. The potential benefits of dense base stations (BSs) deployment are provided by using proper interference management mechanisms. Meanwhile, the user equipments (UEs) can simultaneously access multiple component carriers (CCs) to meet the dramatically increased traffic demand by means of CA. In this paper, an optimization problem consists of UE-BS association, CC configuration, frequency resources scheduling, and power allocation with adaptive modulation schemes is investigated to enhance energy efficiency, focusing on the quality of service (QoS)-aware CA. To obtain the near-optimal solutions as well as the consideration of computational complexity, a cross-entropy-based algorithm (CEA) is proposed to jointly solve the combinatorial problem. Compared to the traditional heuristic algorithms, the merits of proposed scheme can be observed via simulation results.en_US
dc.language.isoen_USen_US
dc.titleJoint Base Station Association and Radio Resource Allocation for Downlink Carrier Aggregation in LTE-Advanced Systemsen_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:000371404700310en_US
dc.citation.woscount0en_US
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