Mean field games for cognitive radio networks

Handle URI:
http://hdl.handle.net/10754/565856
Title:
Mean field games for cognitive radio networks
Authors:
Tembine, Hamidou; Tempone, Raul ( 0000-0003-1967-4446 ) ; Vilanova, Pedro ( 0000-0001-6620-6261 )
Abstract:
In this paper we study mobility effect and power saving in cognitive radio networks using mean field games. We consider two types of users: primary and secondary users. When active, each secondary transmitter-receiver uses carrier sensing and is subject to long-term energy constraint. We formulate the interaction between primary user and large number of secondary users as an hierarchical mean field game. In contrast to the classical large-scale approaches based on stochastic geometry, percolation theory and large random matrices, the proposed mean field framework allows one to describe the evolution of the density distribution and the associated performance metrics using coupled partial differential equations. We provide explicit formulas and algorithmic power management for both primary and secondary users. A complete characterization of the optimal distribution of energy and probability of success is given.
KAUST Department:
Applied Mathematics and Computational Science Program; Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division; Stochastic Numerics Research Group
Publisher:
Institute of Electrical and Electronics Engineers (IEEE)
Journal:
2012 American Control Conference (ACC)
Conference/Event name:
American Control Conference (ACC), 2012
Issue Date:
Jun-2012
DOI:
10.1109/acc.2012.6314643
Type:
Conference Paper
ISSN:
07431619
ISBN:
9781457710957
Appears in Collections:
Conference Papers; Applied Mathematics and Computational Science Program; Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division

Full metadata record

DC FieldValue Language
dc.contributor.authorTembine, Hamidouen
dc.contributor.authorTempone, Raulen
dc.contributor.authorVilanova, Pedroen
dc.date.accessioned2015-08-11T13:43:39Zen
dc.date.available2015-08-11T13:43:39Zen
dc.date.issued2012-06en
dc.identifier.isbn9781457710957en
dc.identifier.issn07431619en
dc.identifier.doi10.1109/acc.2012.6314643en
dc.identifier.urihttp://hdl.handle.net/10754/565856en
dc.description.abstractIn this paper we study mobility effect and power saving in cognitive radio networks using mean field games. We consider two types of users: primary and secondary users. When active, each secondary transmitter-receiver uses carrier sensing and is subject to long-term energy constraint. We formulate the interaction between primary user and large number of secondary users as an hierarchical mean field game. In contrast to the classical large-scale approaches based on stochastic geometry, percolation theory and large random matrices, the proposed mean field framework allows one to describe the evolution of the density distribution and the associated performance metrics using coupled partial differential equations. We provide explicit formulas and algorithmic power management for both primary and secondary users. A complete characterization of the optimal distribution of energy and probability of success is given.en
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en
dc.titleMean field games for cognitive radio networksen
dc.typeConference Paperen
dc.contributor.departmentApplied Mathematics and Computational Science Programen
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Divisionen
dc.contributor.departmentStochastic Numerics Research Groupen
dc.identifier.journal2012 American Control Conference (ACC)en
dc.conference.date27-29 June 2012en
dc.conference.nameAmerican Control Conference (ACC), 2012en
dc.conference.locationMontreal, QCen
kaust.authorTempone, Raulen
kaust.authorVilanova, Pedroen
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