Show simple item record

dc.contributor.authorSboui, Lokman
dc.contributor.authorGhazzai, Hakim
dc.contributor.authorRezki, Zouheir
dc.contributor.authorAlouini, Mohamed-Slim
dc.date.accessioned2016-07-19T09:56:19Z
dc.date.available2016-07-19T09:56:19Z
dc.date.issued2016-07-18
dc.identifier.citationOn Green Cognitive Radio Cellular Networks: Dynamic Spectrum and Operation Management 2016:1 IEEE Access
dc.identifier.issn2169-3536
dc.identifier.doi10.1109/ACCESS.2016.2592178
dc.identifier.urihttp://hdl.handle.net/10754/617237
dc.description.abstractWe study a profit maximization problem related to cognitive radio cellular networks in an environmentally- friendly framework. The objective of the primary network (PN) and secondary network (SN) is to maximize their profits while respecting a certain carbon dioxide (CO2) emissions threshold. In this study, the PN can switch off some of its base stations (BSs) powered by mircogrids, and hence leases the spectrum in the corresponding cells, to reduce its footprint. The corresponding users are roamed to the SN infrastructure. In return, the SN receives a certain roaming cost and its users can freely exploit the spectrum. We study two scenarios in which the profits are either separately or jointly maximized. In the disjoint maximization problem, two low complexity algorithms for PN and SN BS on/off switching are proposed to maximize the profit per CO2 emissions utility and determine the amount of the shared bandwidth. In the joint maximization approach, the low complexity algorithm is based on maximizing the sum of weighted profits per CO2. Selected numerical results illustrate the collaboration performance versus various system parameters. We show that the proposed algorithms achieve performances close to those obtained with the exhaustive search method, and that the roaming price and the renewable energy availability are crucial parameters that control the collaboration of both networks.
dc.language.isoen
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.relation.urlhttp://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=7514956
dc.rights(c) 2016 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.subjectCollaborative cellular networks
dc.subjectdynamic spec- trum management
dc.subjectgreen cognitive radio
dc.subjectmicrogrid
dc.titleOn Green Cognitive Radio Cellular Networks: Dynamic Spectrum and Operation Management
dc.typeArticle
dc.contributor.departmentCommunication Theory Lab
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
dc.contributor.departmentElectrical Engineering Program
dc.contributor.departmentPhysical Science and Engineering (PSE) Division
dc.identifier.journalIEEE Access
dc.eprint.versionPost-print
dc.contributor.institutionQatar Mobility Innovations Center (QMIC), Qatar University , Doha, Qatar
dc.contributor.affiliationKing Abdullah University of Science and Technology (KAUST)
kaust.personSboui, Lokman
kaust.personRezki, Zouheir
kaust.personAlouini, Mohamed-Slim
refterms.dateFOA2018-06-14T08:20:35Z
dc.date.published-online2016-07-18
dc.date.published-print2016


Files in this item

Thumbnail
Name:
07514956.pdf
Size:
553.9Kb
Format:
PDF
Description:
Accepted Manuscript

This item appears in the following Collection(s)

Show simple item record