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dc.contributor.authorSboui, Lokman
dc.contributor.authorRezki, Zouheir
dc.contributor.authorAlouini, Mohamed-Slim
dc.date.accessioned2016-03-21T12:17:16Z
dc.date.available2016-03-21T12:17:16Z
dc.date.issued2015-09
dc.identifier.citationEnergy-Efficient Power Allocation for Underlay Cognitive Radio Systems 2015, 1 (3):273 IEEE Transactions on Cognitive Communications and Networking
dc.identifier.issn2332-7731
dc.identifier.doi10.1109/TCCN.2015.2488622
dc.identifier.urihttp://hdl.handle.net/10754/602356
dc.description.abstractWe present a power allocation framework for spectrum sharing Cognitive Radio (CR) systems based on maximizing the energy efficiency (EE). First, we show that the relation between the EE and the spectral efficiency (SE) is strictly increasing in contrast with the SE-EE trade-off discussed in the literature. We also solve a non-convex problem and explicitly derive the optimal power for the proposed average EE under either a peak or an average power constraint. We apply our results to the underlay CR systems where the power is limited by an additional interference constraint. When the instantaneous channel is not available, we provide a necessary and sufficient condition for the optimal power and present a simple sub-optimal power. In the numerical results, we show that the proposed EE corresponds to a higher SE at mid-range and high power regime compared to the classical EE. We also show that the sup-optimal solution is very close to the optimal solution. In addition, we deduce that the absence of instantaneous CSI affects the EE and the SE at high power regime compared to full CSI. In the CR context, we show that the interference threshold has a minimal effect on the EE compared to the SE.
dc.description.sponsorshipThis work was supported by the Qatar National Research Fund (a member of Qatar Foundation) under NPRP Grant NPRP 5-250-2-087.
dc.language.isoen
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.relation.urlhttp://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=7294661
dc.rightsArchived with thanks to IEEE Transactions on Cognitive Communications and Networking
dc.titleEnergy-Efficient Power Allocation for Underlay Cognitive Radio Systems
dc.typeArticle
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
dc.contributor.departmentElectrical Engineering Program
dc.identifier.journalIEEE Transactions on Cognitive Communications and Networking
dc.eprint.versionPost-print
dc.contributor.affiliationKing Abdullah University of Science and Technology (KAUST)
kaust.personSboui, Lokman
kaust.personRezki, Zouheir
kaust.personAlouini, Mohamed-Slim
refterms.dateFOA2018-06-13T11:31:15Z


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