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dc.contributor.authorLin, Yuan-Binen_US
dc.contributor.authorSu, Yu T.en_US
dc.date.accessioned2014-12-08T15:32:45Z-
dc.date.available2014-12-08T15:32:45Z-
dc.date.issued2012en_US
dc.identifier.isbn978-1-4673-0437-5en_US
dc.identifier.issn1525-3511en_US
dc.identifier.urihttp://hdl.handle.net/11536/22885-
dc.description.abstractWe propose an optimal and a suboptimal resource allocation algorithms for sum rate maximization in an MISO-OFDMA based cognitive radio network subject to a primary user outage constraint. By converting the outage constraint into user and subcarrier dependent peak power constraints, we obtain the optimal joint subcarrier assignment and power allocation solution by applying Lagrange dual-decomposition method. We also propose a low-complexity, fast-convergent suboptimal algorithm which uses an opportunistic channel gain-to-noise ratio based subcarrier assignment and an efficient constrained power allocation scheme. The optimality of the latter power allocation scheme is verified as well. Numerical results demonstrate that, compared with the optimal solution, the suboptimal scheme suffers only minor performance loss. We also shown that the use of more transmit antennas by a cognitive base station not only yields better spectrum efficiency but also lessens the outage-induced peak power constraint.en_US
dc.language.isoen_USen_US
dc.subjectOFDMAen_US
dc.subjectcognitiveen_US
dc.subjectmulti-antennaen_US
dc.subjectpower allocationen_US
dc.subjectdual decompositionen_US
dc.subjectKKT conditionen_US
dc.subjectwater-fillingen_US
dc.titleResource Allocations for MISO Based Cognitive Radio OFDMA Systemsen_US
dc.typeProceedings Paperen_US
dc.identifier.journal2012 IEEE WIRELESS COMMUNICATIONS AND NETWORKING CONFERENCE (WCNC)en_US
dc.citation.spage1343en_US
dc.citation.epage1347en_US
dc.contributor.department電機工程學系zh_TW
dc.contributor.departmentDepartment of Electrical and Computer Engineeringen_US
dc.identifier.wosnumberWOS:000324580701080-
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