Energy Efficient Resource Allocation for Cognitive Radios: A Generalized Sensing Analysis

Handle URI:
http://hdl.handle.net/10754/348514
Title:
Energy Efficient Resource Allocation for Cognitive Radios: A Generalized Sensing Analysis
Authors:
Alabbasi, Abdulrahman ( 0000-0002-6614-5208 ) ; Rezki, Zouheir; Shihada, Basem ( 0000-0003-4434-4334 )
Abstract:
In this paper, two resource allocation schemes for energy efficient cognitive radio systems are proposed. Our design considers resource allocation approaches that adopt spectrum sharing combined with soft-sensing information, adaptive sensing thresholds, and adaptive power to achieve an energy efficient system. An energy per good-bit metric is considered as an energy efficient objective function. A multi-carrier system, such as, orthogonal frequency division multiplexing, is considered in the framework. The proposed resource allocation schemes, using different approaches, are designated as sub-optimal and optimal. The sub-optimal approach is attained by optimizing over a channel inversion power policy. The optimal approach utilizes the calculus of variation theory to optimize a problem of instantaneous objective function subject to average and instantaneous constraints with respect to functional optimization variables. In addition to the analytical results, selected numerical results are provided to quantify the impact of soft-sensing information and the optimal adaptive sensing threshold on the system performance.
KAUST Department:
Electrical Engineering Program; Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
Citation:
Energy Efficient Resource Allocation for Cognitive Radios: A Generalized Sensing Analysis 2015:1 IEEE Transactions on Wireless Communications
Publisher:
Institute of Electrical and Electronics Engineers (IEEE)
Journal:
IEEE Transactions on Wireless Communications
Issue Date:
31-Dec-2014
DOI:
10.1109/TWC.2014.2387161
Type:
Article
ISSN:
1536-1276
Additional Links:
http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=7000583; http://www.shihada.com/node/publications/SISO_Sensing_Analysis.pdf
Appears in Collections:
Articles; Electrical Engineering Program; Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division

Full metadata record

DC FieldValue Language
dc.contributor.authorAlabbasi, Abdulrahmanen
dc.contributor.authorRezki, Zouheiren
dc.contributor.authorShihada, Basemen
dc.date.accessioned2015-04-06T09:00:20Zen
dc.date.available2015-04-06T09:00:20Zen
dc.date.issued2014-12-31en
dc.identifier.citationEnergy Efficient Resource Allocation for Cognitive Radios: A Generalized Sensing Analysis 2015:1 IEEE Transactions on Wireless Communicationsen
dc.identifier.issn1536-1276en
dc.identifier.doi10.1109/TWC.2014.2387161en
dc.identifier.urihttp://hdl.handle.net/10754/348514en
dc.description.abstractIn this paper, two resource allocation schemes for energy efficient cognitive radio systems are proposed. Our design considers resource allocation approaches that adopt spectrum sharing combined with soft-sensing information, adaptive sensing thresholds, and adaptive power to achieve an energy efficient system. An energy per good-bit metric is considered as an energy efficient objective function. A multi-carrier system, such as, orthogonal frequency division multiplexing, is considered in the framework. The proposed resource allocation schemes, using different approaches, are designated as sub-optimal and optimal. The sub-optimal approach is attained by optimizing over a channel inversion power policy. The optimal approach utilizes the calculus of variation theory to optimize a problem of instantaneous objective function subject to average and instantaneous constraints with respect to functional optimization variables. In addition to the analytical results, selected numerical results are provided to quantify the impact of soft-sensing information and the optimal adaptive sensing threshold on the system performance.en
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en
dc.relation.urlhttp://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=7000583en
dc.relation.urlhttp://www.shihada.com/node/publications/SISO_Sensing_Analysis.pdfen
dc.rightsArchived with thanks to IEEE Transactions on Wireless Communications. © Copyright 2015 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.en
dc.titleEnergy Efficient Resource Allocation for Cognitive Radios: A Generalized Sensing Analysisen
dc.typeArticleen
dc.contributor.departmentElectrical Engineering Programen
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Divisionen
dc.identifier.journalIEEE Transactions on Wireless Communicationsen
dc.eprint.versionPost-printen
kaust.authorRezki, Zouheiren
kaust.authorShihada, Basemen
kaust.authorAlabbasi, Abdulrahmanen
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