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dc.contributor.authorLee, Ming-Chunen_US
dc.contributor.authorHuang, Chung-Jungen_US
dc.contributor.authorChung, Wei-Hoen_US
dc.contributor.authorLee, Ta-Sungen_US
dc.date.accessioned2016-03-28T00:05:46Z-
dc.date.available2016-03-28T00:05:46Z-
dc.date.issued2014-01-01en_US
dc.identifier.isbn978-1-4799-4482-8en_US
dc.identifier.issn1550-2252en_US
dc.identifier.urihttp://hdl.handle.net/11536/129839-
dc.description.abstractThis work investigates the configuration selection in IA-aided UL CoMP systems which pursues the maximal achievable sum rate. The configuration is defined by the number of data streams transmitted in each user. Intuitively, the solution can be found by exhaustively calculating the achievable sum rate for all the possible configurations, and select the configuration leading to the maximal achievable sum rate. The exhaustive search method is infeasible due to its high complexity. Based on the characteristics of IA-aided UL CoMP systems, an algorithm is proposed to obtain the configuration with extremely low complexity, and the proposed approach achieves comparable performance as in exhaustive method.en_US
dc.language.isoen_USen_US
dc.subjectCoMPen_US
dc.subjectcooperative multipoint systemen_US
dc.subjectLTE-Aen_US
dc.subjectIAen_US
dc.subjectMIMOen_US
dc.subjectlow complexityen_US
dc.titleA Low Complexity Configuration Selection Algorithm in IA-aided Uplink Coordinated Multipoint Systemsen_US
dc.typeProceedings Paperen_US
dc.identifier.journal2014 IEEE 79TH VEHICULAR TECHNOLOGY CONFERENCE (VTC-SPRING)en_US
dc.contributor.department電機資訊學士班zh_TW
dc.contributor.departmentUndergraduate Honors Program of Electrical Engineering and Computer Scienceen_US
dc.identifier.wosnumberWOS:000368161900013en_US
dc.citation.woscount0en_US
Appears in Collections:Conferences Paper


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