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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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https://hal.inria.fr/hal-00950854
Contributor : Eitan Altman <>
Submitted on : Sunday, February 23, 2014 - 12:13:29 PM
Last modification on : Saturday, January 27, 2018 - 1:31:41 AM
Long-term archiving on: : Friday, May 23, 2014 - 10:40:34 AM

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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, ⟨10.1109/INFOCOM.2014.6848117⟩. ⟨hal-00950854⟩

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