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dc.contributor.authorAbdallah, Mohamed M.
dc.contributor.authorSalem, Ahmed H.
dc.contributor.authorAlouini, Mohamed-Slim
dc.contributor.authorQaraqe, Khalid A.
dc.date.accessioned2015-08-03T09:45:50Z
dc.date.available2015-08-03T09:45:50Z
dc.date.issued2012-04
dc.identifier.issn15361276
dc.identifier.doi10.1109/TWC.2012.030512.111035
dc.identifier.urihttp://hdl.handle.net/10754/562145
dc.description.abstractIn this paper we develop a framework for optimizing the performance of the secondary link in terms of the average spectral efficiency assuming quantized channel state information (CSI) of the secondary and the secondary-to-primary interference channels available at the secondary transmitter. We consider the problem under the constraints of maximum average interference power levels at the primary receiver. We develop a sub-optimal computationally efficient iterative algorithm for finding the optimal CSI quantizers as well as the discrete power and rate employed at the cognitive transmitter for each quantized CSI level so as to maximize the average spectral efficiency. We show via analysis and simulations that the proposed algorithm converges for Rayleigh fading channels. Our numerical results give the number of bits required to sufficiently represent the CSI to achieve almost the maximum average spectral efficiency attained using full knowledge of the CSI. © 2012 IEEE.
dc.description.sponsorshipA part of this work was accepted to the 2011 Conference on Information Sciences and Systems. This publication was made possible by NPRP grant # [08-152-2-043] from the Qatar National Research Fund (a member of Qatar Foundation). The statements made herein are solely the responsibility of the authors.
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.subjectAdaptive transmission
dc.subjectlimited feedback
dc.subjectquantized channel state information
dc.subjectspectral efficiency
dc.subjectspectrum sharing system
dc.titleAdaptive discrete rate and power transmission for spectrum sharing systems
dc.typeArticle
dc.contributor.departmentElectrical Engineering Program
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
dc.contributor.departmentCommunication Theory Lab
dc.identifier.journalIEEE Transactions on Wireless Communications
dc.contributor.institutionDepartment of Electrical and Computer Engineering, Texas AandM University at Qatar, PO Box 23874, Doha, Qatar
dc.contributor.institutionDepartment of Electronics and Electrical Communication, Cairo University, Giza, Cairo, Egypt
kaust.personAlouini, Mohamed-Slim


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