An Energy Efficient Cognitive Radio System with Quantized Soft Sensing and Duration Analysis

Handle URI:
http://hdl.handle.net/10754/362478
Title:
An Energy Efficient Cognitive Radio System with Quantized Soft Sensing and Duration Analysis
Authors:
Alabbasi, Abdulrahman ( 0000-0002-6614-5208 ) ; Shihada, Basem ( 0000-0003-4434-4334 )
Abstract:
In 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.
KAUST Department:
Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
Citation:
Alabbasi, 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.
Publisher:
Institute of Electrical and Electronics Engineers (IEEE)
Journal:
2015 IEEE Wireless Communications and Networking Conference (WCNC)
Conference/Event name:
Wireless Communications and Networking Conference (WCNC), 2015 IEEE
Issue Date:
9-Mar-2015
DOI:
10.1109/wcnc.2015.7127507
Type:
Conference Paper
ISSN:
0018-9219
Additional Links:
http://www.shihada.com/node/publications/SISO_Sensing_Time.pdf
Appears in Collections:
Conference Papers; Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division

Full metadata record

DC FieldValue Language
dc.contributor.authorAlabbasi, Abdulrahmanen
dc.contributor.authorShihada, Basemen
dc.date.accessioned2015-04-09T06:41:10Zen
dc.date.available2015-04-09T06:41:10Zen
dc.date.issued2015-03-09en
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.en
dc.identifier.issn0018-9219en
dc.identifier.doi10.1109/wcnc.2015.7127507en
dc.identifier.urihttp://hdl.handle.net/10754/362478en
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.en
dc.language.isoenen
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en
dc.relation.urlhttp://www.shihada.com/node/publications/SISO_Sensing_Time.pdfen
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.en
dc.titleAn Energy Efficient Cognitive Radio System with Quantized Soft Sensing and Duration Analysisen
dc.typeConference Paperen
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Divisionen
dc.identifier.journal2015 IEEE Wireless Communications and Networking Conference (WCNC)en
dc.conference.date9-12 March 2015en
dc.conference.nameWireless Communications and Networking Conference (WCNC), 2015 IEEEen
dc.conference.locationNew Orleans, LAen
dc.eprint.versionPost-printen
dc.contributor.affiliationKing Abdullah University of Science and Technology (KAUST)en
kaust.authorShihada, Basemen
kaust.authorAlabbasi, Abdulrahmanen
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