Show simple item record

dc.contributor.authorAlabbasi, AbdulRahman
dc.contributor.authorRezki, Zouheir
dc.contributor.authorShihada, Basem
dc.date.accessioned2015-04-09T06:46:15Z
dc.date.available2015-04-09T06:46:15Z
dc.date.issued2014-11-26
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.
dc.identifier.doi10.1109/WCNC.2014.6952153
dc.identifier.urihttp://hdl.handle.net/10754/362480
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.
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.relation.urlhttp://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=6952153
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.
dc.titleEnergy efficient scheme for cognitive radios utilizing soft sensing
dc.typeConference Paper
dc.contributor.departmentComputer Science Program
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
dc.contributor.departmentElectrical Engineering Program
dc.contributor.departmentNetworks Laboratory (NetLab)
dc.identifier.journal2014 IEEE Wireless Communications and Networking Conference (WCNC)
dc.conference.date6 April 2014 through 9 April 2014
dc.conference.name2014 IEEE Wireless Communications and Networking Conference, WCNC 2014
dc.eprint.versionPost-print
dc.contributor.affiliationKing Abdullah University of Science and Technology (KAUST)
kaust.personRezki, Zouheir
kaust.personShihada, Basem
kaust.personAlabbasi, Abdulrahman
refterms.dateFOA2018-06-13T16:40:20Z
dc.date.published-online2014-11-26
dc.date.published-print2014-04


Files in this item

Thumbnail
Name:
EEsoftsensing.pdf
Size:
659.6Kb
Format:
PDF
Description:
Accepted Manuscript

This item appears in the following Collection(s)

Show simple item record