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dc.contributor.authorSboui, Lokman
dc.contributor.authorGhazzai, Hakim
dc.contributor.authorRezki, Zouheir
dc.contributor.authorAlouini, Mohamed-Slim
dc.date.accessioned2018-04-24T05:57:45Z
dc.date.available2018-04-24T05:57:45Z
dc.date.issued2018-02-15
dc.identifier.citationSboui L, Ghazzai H, Rezki Z, Alouini M-S (2017) Dynamic spectrum management in green cognitive radio cellular networks. 2017 IEEE 28th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC). Available: http://dx.doi.org/10.1109/PIMRC.2017.8292271.
dc.identifier.doi10.1109/PIMRC.2017.8292271
dc.identifier.urihttp://hdl.handle.net/10754/627595
dc.description.abstractIn this paper, we propose a new cellular network operation scheme fulfilling the 5G requirements related to spectrum management and green communications. We focus on cognitive radio cellular networks in which both the primary network (PN) and the secondary network (SN) are maximizing their operational profits. The PN and the SN are required to respect a CO emissions threshold by switching off one or more lightly loaded base stations (BSs). In addition, the PN accepts to cooperate with the SN by leasing its spectrum in the cells where the PN is turned off. In return, the corresponding SN BSs host the PN users and impose extra roaming fees to the PN. We propose a low-complexity algorithm that maximizes the profit per CO emissions metric while switching on/off the BSs. In the simulations, we show that our proposed algorithm achieves performances close to the exhaustive search method. In addition, we find that the roaming price is a key parameter that affects both PN and SN profits.
dc.publisherIEEE
dc.relation.urlhttps://ieeexplore.ieee.org/document/8292271/
dc.rights(c) 2017 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.subjectGreen cognitive radio networking
dc.subjectSpectrum cooperation
dc.titleDynamic spectrum management in green cognitive radio cellular networks
dc.typeConference Paper
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
dc.contributor.departmentElectrical Engineering Program
dc.contributor.departmentKing Abdullah University of Science and Technology (KAUST), Thuwal, Makkah Province, , Saudi Arabia
dc.identifier.journal2017 IEEE 28th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC)
dc.conference.date2017-10-08 to 2017-10-13
dc.conference.name28th Annual IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC 2017
dc.conference.locationMontreal, QC, CAN
dc.eprint.versionPost-print
dc.contributor.institutionQatar Mobility Innovations Center (QMIC), Qatar University, Doha, , , Qatar
dc.contributor.institutionUniversity of Idaho, Moscow, ID, , United States
kaust.personSboui, Lokman
kaust.personAlouini, Mohamed-Slim
refterms.dateFOA2018-06-14T04:24:32Z


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