Energy efficiency and SINR maximization beamformers for cognitive radio utilizing sensing information

Handle URI:
http://hdl.handle.net/10754/362466
Title:
Energy efficiency and SINR maximization beamformers for cognitive radio utilizing sensing information
Authors:
Alabbasi, Abdulrahman ( 0000-0002-6614-5208 ) ; Rezki, Zouheir; Shihada, Basem ( 0000-0003-4434-4334 )
Abstract:
In this paper we consider a cognitive radio multi-input multi-output environment in which we adapt our beamformer to maximize both energy efficiency and signal to interference plus noise ratio (SINR) metrics. Our design considers an underlaying communication using adaptive beamforming schemes combined with the sensing information to achieve an optimal energy efficient system. The proposed schemes maximize the energy efficiency and SINR metrics subject to cognitive radio and quality of service constraints. Since the optimization of energy efficiency problem is not a convex problem, we transform it into a standard semi-definite programming (SDP) form to guarantee a global optimal solution. Analytical solution is provided for one scheme, while the other scheme is left in a standard SDP form. Selected numerical results are used to quantify the impact of the sensing information on the proposed schemes compared to the benchmark ones.
KAUST Department:
Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
Publisher:
Institute of Electrical & Electronics Engineers (IEEE)
Journal:
2014 IEEE International Symposium on Information Theory
Conference/Event name:
2014 IEEE International Symposium on Information Theory, ISIT 2014
Issue Date:
Jun-2014
DOI:
10.1109/ISIT.2014.6875061
Type:
Conference Paper
Additional Links:
http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=6875061
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.authorRezki, Zouheiren
dc.contributor.authorShihada, Basemen
dc.date.accessioned2015-04-09T06:46:37Zen
dc.date.available2015-04-09T06:46:37Zen
dc.date.issued2014-06en
dc.identifier.doi10.1109/ISIT.2014.6875061en
dc.identifier.urihttp://hdl.handle.net/10754/362466en
dc.description.abstractIn this paper we consider a cognitive radio multi-input multi-output environment in which we adapt our beamformer to maximize both energy efficiency and signal to interference plus noise ratio (SINR) metrics. Our design considers an underlaying communication using adaptive beamforming schemes combined with the sensing information to achieve an optimal energy efficient system. The proposed schemes maximize the energy efficiency and SINR metrics subject to cognitive radio and quality of service constraints. Since the optimization of energy efficiency problem is not a convex problem, we transform it into a standard semi-definite programming (SDP) form to guarantee a global optimal solution. Analytical solution is provided for one scheme, while the other scheme is left in a standard SDP form. Selected numerical results are used to quantify the impact of the sensing information on the proposed schemes compared to the benchmark ones.en
dc.publisherInstitute of Electrical & Electronics Engineers (IEEE)en
dc.relation.urlhttp://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=6875061en
dc.rights© 2014 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.titleEnergy efficiency and SINR maximization beamformers for cognitive radio utilizing sensing informationen
dc.typeConference Paperen
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Divisionen
dc.identifier.journal2014 IEEE International Symposium on Information Theoryen
dc.conference.date29 June 2014 through 4 July 2014en
dc.conference.name2014 IEEE International Symposium on Information Theory, ISIT 2014en
dc.conference.locationHonolulu, HIen
dc.eprint.versionPost-printen
dc.contributor.affiliationKing Abdullah University of Science and Technology (KAUST)en
kaust.authorRezki, Zouheiren
kaust.authorShihada, Basemen
kaust.authorAlabbasi, Abdulrahmanen
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