Energy efficient scheme for cognitive radios utilizing soft sensing

Handle URI:
http://hdl.handle.net/10754/362480
Title:
Energy efficient scheme for cognitive radios utilizing soft sensing
Authors:
Alabbasi, Abdulrahman ( 0000-0002-6614-5208 ) ; Rezki, Zouheir; Shihada, Basem ( 0000-0003-4434-4334 )
Abstract:
In this paper we propose an energy efficient cognitive radio system. Our design considers an underlaying resource allocation combined with soft sensing information to achieve a sub-optimum energy efficient system. The sub-optimality is achieved by optimizing over a channel inversion power policy instead of considering a water-filling power policy. We consider an Energy per Goodbit (EPG) metric to express the energy efficient objective function of the system and as an evaluation metric to our system performance. Since our optimization problem is not a known convex problem, we prove its convexity to guarantee its feasibility. We evaluate the proposed scheme comparing to a benchmark system through both analytical and numerical results.
KAUST Department:
Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
Citation:
A. Al-Abbasi, Z. Rezki, B. Shihada, "Energy Efficient Scheme for Cognitive Radios Utilizing Soft Sensing", in Proc. IEEE Wireless Communications and Networking Conference (WCNC), pp. 701-706, 2014.
Publisher:
Institute of Electrical and Electronics Engineers (IEEE)
Journal:
2014 IEEE Wireless Communications and Networking Conference (WCNC)
Conference/Event name:
2014 IEEE Wireless Communications and Networking Conference, WCNC 2014
Issue Date:
6-Apr-2014
DOI:
10.1109/WCNC.2014.6952153
Type:
Conference Paper
Additional Links:
http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=6952153
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.accessioned2015-04-09T06:46:15Zen
dc.date.available2015-04-09T06:46:15Zen
dc.date.issued2014-04-06en
dc.identifier.citationA. Al-Abbasi, Z. Rezki, B. Shihada, "Energy Efficient Scheme for Cognitive Radios Utilizing Soft Sensing", in Proc. IEEE Wireless Communications and Networking Conference (WCNC), pp. 701-706, 2014.en
dc.identifier.doi10.1109/WCNC.2014.6952153en
dc.identifier.urihttp://hdl.handle.net/10754/362480en
dc.description.abstractIn this paper we propose an energy efficient cognitive radio system. Our design considers an underlaying resource allocation combined with soft sensing information to achieve a sub-optimum energy efficient system. The sub-optimality is achieved by optimizing over a channel inversion power policy instead of considering a water-filling power policy. We consider an Energy per Goodbit (EPG) metric to express the energy efficient objective function of the system and as an evaluation metric to our system performance. Since our optimization problem is not a known convex problem, we prove its convexity to guarantee its feasibility. We evaluate the proposed scheme comparing to a benchmark system through both analytical and numerical results.en
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en
dc.relation.urlhttp://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=6952153en
dc.rights(c) 2014 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, 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 components of this work in other works.en
dc.titleEnergy efficient scheme for cognitive radios utilizing soft sensingen
dc.typeConference Paperen
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Divisionen
dc.identifier.journal2014 IEEE Wireless Communications and Networking Conference (WCNC)en
dc.conference.date6 April 2014 through 9 April 2014en
dc.conference.name2014 IEEE Wireless Communications and Networking Conference, WCNC 2014en
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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