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dc.contributor.authorAlabbasi, AbdulRahman
dc.contributor.authorShihada, Basem
dc.date.accessioned2015-04-09T06:41:10Z
dc.date.available2015-04-09T06:41:10Z
dc.date.issued2015-03-09
dc.identifier.citationAlabbasi, AbdulRahman, and Basem Shihada. "An Energy Efficient Cognitive Radio System with Quantized Soft Sensing and Duration Analysis." In Proc. of IEEE Wireless Communications and Networking Conference (WCNC). Vol. 2015. 2015.
dc.identifier.issn0018-9219
dc.identifier.doi10.1109/wcnc.2015.7127507
dc.identifier.urihttp://hdl.handle.net/10754/362478
dc.description.abstractIn this paper, an energy efficient cognitive radio system is proposed. The proposed design optimizes the secondary user transmission power and the sensing duration combined with soft-sensing information to minimize the energy per goodbit. Due to the non-convex nature of the problem we prove its pseudo-convexity to guarantee the optimal solution. Furthermore, a quantization scheme, that discretize the softsensing information, is proposed and analyzed to reduce the overload of the continuously adapted power. Numerical results show that our proposed system outperforms the benchmark systems. The impact of the quantization levels and other system parameters is evaluated in the numerical results.
dc.language.isoen
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.relation.urlhttp://www.shihada.com/node/publications/SISO_Sensing_Time.pdf
dc.rights© 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
dc.titleAn Energy Efficient Cognitive Radio System with Quantized Soft Sensing and Duration Analysis
dc.typeConference Paper
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
dc.identifier.journal2015 IEEE Wireless Communications and Networking Conference (WCNC)
dc.conference.date9-12 March 2015
dc.conference.nameWireless Communications and Networking Conference (WCNC), 2015 IEEE
dc.conference.locationNew Orleans, LA
dc.eprint.versionPost-print
dc.contributor.affiliationKing Abdullah University of Science and Technology (KAUST)
kaust.personShihada, Basem
kaust.personAlabbasi, AbdulRahman
refterms.dateFOA2018-06-14T04:50:04Z


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