Dynamic spectrum management in green cognitive radio cellular networks

Handle URI:
http://hdl.handle.net/10754/627595
Title:
Dynamic spectrum management in green cognitive radio cellular networks
Authors:
Sboui, Lokman ( 0000-0003-1134-4055 ) ; Ghazzai, Hakim; Rezki, Zouheir; Alouini, Mohamed-Slim ( 0000-0003-4827-1793 )
Abstract:
In 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.
KAUST Department:
Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division; Electrical Engineering Program; King Abdullah University of Science and Technology (KAUST), Thuwal, Makkah Province, , Saudi Arabia
Citation:
Sboui 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.
Publisher:
IEEE
Journal:
2017 IEEE 28th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC)
Conference/Event name:
28th Annual IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC 2017
Issue Date:
15-Feb-2018
DOI:
10.1109/PIMRC.2017.8292271
Type:
Conference Paper
Additional Links:
https://ieeexplore.ieee.org/document/8292271/
Appears in Collections:
Conference Papers; Electrical Engineering Program; Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division

Full metadata record

DC FieldValue Language
dc.contributor.authorSboui, Lokmanen
dc.contributor.authorGhazzai, Hakimen
dc.contributor.authorRezki, Zouheiren
dc.contributor.authorAlouini, Mohamed-Slimen
dc.date.accessioned2018-04-24T05:57:45Z-
dc.date.available2018-04-24T05:57:45Z-
dc.date.issued2018-02-15en
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.en
dc.identifier.doi10.1109/PIMRC.2017.8292271en
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.en
dc.publisherIEEEen
dc.relation.urlhttps://ieeexplore.ieee.org/document/8292271/en
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.en
dc.subjectCollaborative cellular networksen
dc.subjectGreen cognitive radio networkingen
dc.subjectSpectrum cooperationen
dc.titleDynamic spectrum management in green cognitive radio cellular networksen
dc.typeConference Paperen
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Divisionen
dc.contributor.departmentElectrical Engineering Programen
dc.contributor.departmentKing Abdullah University of Science and Technology (KAUST), Thuwal, Makkah Province, , Saudi Arabiaen
dc.identifier.journal2017 IEEE 28th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC)en
dc.conference.date2017-10-08 to 2017-10-13en
dc.conference.name28th Annual IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC 2017en
dc.conference.locationMontreal, QC, CANen
dc.eprint.versionPost-printen
dc.contributor.institutionQatar Mobility Innovations Center (QMIC), Qatar University, Doha, , , Qataren
dc.contributor.institutionUniversity of Idaho, Moscow, ID, , United Statesen
kaust.authorSboui, Lokmanen
kaust.authorAlouini, Mohamed-Slimen
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