Distributed Spectrum Management in TV White Space Networks

Jocelyne Elias 1, 2 Fabio Martignon 3, 4, 5 Lin Chen 3, 4 Marwan Krunz 6
2 DYOGENE - Dynamics of Geometric Networks
DI-ENS - Département d'informatique de l'École normale supérieure, ENS Paris - École normale supérieure - Paris, CNRS - Centre National de la Recherche Scientifique : UMR 8548, Inria de Paris
3 GALaC - LRI - Graphes, Algorithmes et Combinatoire (LRI)
LRI - Laboratoire de Recherche en Informatique
Abstract : In this paper, we investigate the spectrum management problem in TV White Space (TVWS) Cognitive Radio Networks using a game theoretical approach, accounting for adjacent-channel interference. TV Bands Devices (TVBDs) compete to access available TV channels and choose idle blocks that optimize some objective function. Specifically, the goal of each TVBD is to minimize the price paid to the Database operator and a cost function that depends on the interference between unlicensed devices. We show that the proposed TVWS management game admits a potential function under general conditions. Accordingly, we use a Best Response algorithm to converge in few iterations to the Nash Equilibrium (NE) points. We evaluate the performance of the proposed game, considering both static and dynamic TVWS scenarios and taking into account users' mobility. Our results show that at the NE, the game provides an interesting tradeoff between efficient TV spectrum use and reduction of interference between TVBDs.
Type de document :
Article dans une revue
IEEE Transactions on Vehicular Technology, Institute of Electrical and Electronics Engineers, 2017, 66 (5), pp.4161 - 4172. 〈10.1109/TVT.2016.2597866〉
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https://hal.inria.fr/hal-01350583
Contributeur : Fabio Martignon <>
Soumis le : dimanche 31 juillet 2016 - 14:20:31
Dernière modification le : jeudi 5 avril 2018 - 12:30:24

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Jocelyne Elias, Fabio Martignon, Lin Chen, Marwan Krunz. Distributed Spectrum Management in TV White Space Networks. IEEE Transactions on Vehicular Technology, Institute of Electrical and Electronics Engineers, 2017, 66 (5), pp.4161 - 4172. 〈10.1109/TVT.2016.2597866〉. 〈hal-01350583〉

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