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dc.contributor.authorCheng, Chien-Chunen_US
dc.contributor.authorSezginer, Serdaren_US
dc.contributor.authorSari, Hikmeten_US
dc.contributor.authorSu, Yu T.en_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/11536/129838-
dc.description.abstractInterference rejection combining (IRC) is an effective technique to suppress the spatial interference in multiple input multiple-output (MIMO) systems. In general, more receive antennas result in better interference-suppression capability. However, as the number of receive antennas increases, the receiver becomes more complex and loses its scalability. Therefore, an increased attention was turned by industry to find efficient ways to enable the use of more receive antennas, e.g., scaling the number of receive antennas to increase interference rejection capability. In this paper, a baseband preprocessing scheme is proposed by maximizing the signal-to-interference-plus noise ratio (SINR). It involves minimum modification of the existing receiver structure when additional receive antennas become available. The proposed process provides substantial improvements by exploiting the channel estimates or the SINR feedback from the original receiver. The main idea is to generate a new channel matrix for the original receiver such that the interference can be suppressed after the proposed processing. Since the proposed scheme does not rely on the receiver structure, it can be easily applied to different receivers.en_US
dc.language.isoen_USen_US
dc.titleSINR Enhancement of Interference Rejection Combining for the MIMO Interference Channelen_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:000368161900330en_US
dc.citation.woscount0en_US
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