Adaptive discrete rate and power transmission for spectrum sharing systems

Handle URI:
http://hdl.handle.net/10754/562145
Title:
Adaptive discrete rate and power transmission for spectrum sharing systems
Authors:
Abdallah, Mohamed M.; Salem, Ahmed H.; Alouini, Mohamed-Slim ( 0000-0003-4827-1793 ) ; Qaraqe, Khalid A.
Abstract:
In 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.
KAUST Department:
Electrical Engineering Program; Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division; Communication Theory Lab
Publisher:
Institute of Electrical and Electronics Engineers
Journal:
IEEE Transactions on Wireless Communications
Issue Date:
Apr-2012
DOI:
10.1109/TWC.2012.030512.111035
Type:
Article
ISSN:
15361276
Sponsors:
A 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.
Appears in Collections:
Articles; Electrical Engineering Program; Communication Theory Lab; Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division

Full metadata record

DC FieldValue Language
dc.contributor.authorAbdallah, Mohamed M.en
dc.contributor.authorSalem, Ahmed H.en
dc.contributor.authorAlouini, Mohamed-Slimen
dc.contributor.authorQaraqe, Khalid A.en
dc.date.accessioned2015-08-03T09:45:50Zen
dc.date.available2015-08-03T09:45:50Zen
dc.date.issued2012-04en
dc.identifier.issn15361276en
dc.identifier.doi10.1109/TWC.2012.030512.111035en
dc.identifier.urihttp://hdl.handle.net/10754/562145en
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.en
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.en
dc.publisherInstitute of Electrical and Electronics Engineersen
dc.subjectAdaptive transmissionen
dc.subjectlimited feedbacken
dc.subjectquantized channel state informationen
dc.subjectspectral efficiencyen
dc.subjectspectrum sharing systemen
dc.titleAdaptive discrete rate and power transmission for spectrum sharing systemsen
dc.typeArticleen
dc.contributor.departmentElectrical Engineering Programen
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Divisionen
dc.contributor.departmentCommunication Theory Laben
dc.identifier.journalIEEE Transactions on Wireless Communicationsen
dc.contributor.institutionDepartment of Electrical and Computer Engineering, Texas AandM University at Qatar, PO Box 23874, Doha, Qataren
dc.contributor.institutionDepartment of Electronics and Electrical Communication, Cairo University, Giza, Cairo, Egypten
kaust.authorAlouini, Mohamed-Slimen
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