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dc.contributor.authorChang, Chieh-Yaoen_US
dc.contributor.authorFung, Carrson C.en_US
dc.date.accessioned2014-12-08T15:28:05Z-
dc.date.available2014-12-08T15:28:05Z-
dc.date.issued2012en_US
dc.identifier.isbn978-1-4673-0183-1en_US
dc.identifier.urihttp://hdl.handle.net/11536/20345-
dc.description.abstractHerein a maximin-SNR robust precoder design is proposed for MIMO cognitive radio transmission when inaccurate channel estimate is present. The proposed scheme exploits the structural property of the statistical transmit covariance matrix to increase the degree of freedom in the mismatch model related to the channel matrix. Simulation results show that the proposed scheme outperforms previously proposed methods in terms of SER under certain conditions. The performance gain is obtained at the cost of increased interference level toward the primary user, but without violating the average interference power constraint. Analytical and simulation results are given to support the efficacy of the proposed scheme. Furthermore, analysis is carried out to differentiate the performance given by the lower bound method and S-Procedure method.en_US
dc.language.isoen_USen_US
dc.subjectInterference avoidanceen_US
dc.subjectcognitive radioen_US
dc.subjectMIMOen_US
dc.subjectprecoderen_US
dc.subjectimperfect channelsen_US
dc.titleROBUST INTERFERENCE CHANNEL TRANSMISSION USING SPARSITY ENHANCED MISMATCH MODELen_US
dc.typeProceedings Paperen_US
dc.identifier.journal2012 IEEE STATISTICAL SIGNAL PROCESSING WORKSHOP (SSP)en_US
dc.citation.spage836en_US
dc.citation.epage839en_US
dc.contributor.department電子工程學系及電子研究所zh_TW
dc.contributor.departmentDepartment of Electronics Engineering and Institute of Electronicsen_US
dc.identifier.wosnumberWOS:000309943200210-
Appears in Collections:Conferences Paper