Automated Dynamic Offset Applied to Cell Association

Abstract : In this paper, we develop a hierarchical Bayesian game framework for automated dynamic offset selection. Users compete to maximize their throughput by picking the best locally serving radio access network (RAN) with respect to their own measurement, their demand and a partial statistical channel state information (CSI) of other users. In particular, we investigate the properties of a Stackelberg game, in which the base station is a player on its own. We derive analytically the utilities related to the channel quality perceived by users to obtain the equilibria. We study the Price of Anarchy (PoA) of such system, where the PoA is the ratio of the social welfare attained when a network planner chooses policies to maximize social welfare versus the social welfare attained in Nash/Stackeleberg equilibrium when users choose their policies strategically.
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Communication dans un congrès
33rd Annual IEEE International Conference on Computer Communications (INFOCOM 2014), Apr 2014, Toronto, Canada. pp.1788-1796, 2014, 〈10.1109/INFOCOM.2014.6848117 〉
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Contributeur : Eitan Altman <>
Soumis le : dimanche 23 février 2014 - 12:13:29
Dernière modification le : samedi 27 janvier 2018 - 01:31:41
Document(s) archivé(s) le : vendredi 23 mai 2014 - 10:40:34

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Majed Haddad, Sidi Habib, Piotr Wiecek, Eitan Altman. Automated Dynamic Offset Applied to Cell Association. 33rd Annual IEEE International Conference on Computer Communications (INFOCOM 2014), Apr 2014, Toronto, Canada. pp.1788-1796, 2014, 〈10.1109/INFOCOM.2014.6848117 〉. 〈hal-00950854〉

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