Dynamic spectrum management in green cognitive radio cellular networks
dc.contributor.author | Sboui, Lokman | |
dc.contributor.author | Ghazzai, Hakim | |
dc.contributor.author | Rezki, Zouheir | |
dc.contributor.author | Alouini, Mohamed-Slim | |
dc.date.accessioned | 2018-04-24T05:57:45Z | |
dc.date.available | 2018-04-24T05:57:45Z | |
dc.date.issued | 2018-02-15 | |
dc.identifier.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. | |
dc.identifier.doi | 10.1109/PIMRC.2017.8292271 | |
dc.identifier.uri | http://hdl.handle.net/10754/627595 | |
dc.description.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. | |
dc.publisher | Institute of Electrical and Electronics Engineers (IEEE) | |
dc.relation.url | https://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.subject | Collaborative cellular networks | |
dc.subject | Green cognitive radio networking | |
dc.subject | Spectrum cooperation | |
dc.title | Dynamic spectrum management in green cognitive radio cellular networks | |
dc.type | Conference Paper | |
dc.contributor.department | Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division | |
dc.contributor.department | Electrical Engineering Program | |
dc.identifier.journal | 2017 IEEE 28th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC) | |
dc.conference.date | 2017-10-08 to 2017-10-13 | |
dc.conference.name | 28th Annual IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC 2017 | |
dc.conference.location | Montreal, QC, CAN | |
dc.eprint.version | Post-print | |
dc.contributor.institution | Qatar Mobility Innovations Center (QMIC), Qatar University, Doha, , , Qatar | |
dc.contributor.institution | University of Idaho, Moscow, ID, , United States | |
kaust.person | Sboui, Lokman | |
kaust.person | Alouini, Mohamed-Slim | |
refterms.dateFOA | 2018-06-14T04:24:32Z | |
dc.date.published-online | 2018-02-15 | |
dc.date.published-print | 2017-10 |
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