DocumentCode :
170709
Title :
Automated dynamic offset applied to cell association
Author :
Haddad, Mario ; Sidi, Habib ; Wiecek, Piotr ; Altman, Eitan
Author_Institution :
INRIA Sophia-Antipolis, Sophia-Antipolis, France
fYear :
2014
fDate :
April 27 2014-May 2 2014
Firstpage :
1788
Lastpage :
1796
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. We show by means of a Stackelberg formulation, how the operator, by sending appropriate information about the state of the channel, can configure a dynamic offset that optimizes its global utility while users maximize their individual utilities. The proposed hierarchical decision approach for wireless networks can reach a good trade-off between the global network performance at the equilibrium and the requested amount of signaling. Typically, it is shown that when the network goal is orthogonal to user´s goal, this can lead the users to a misleading association problem.
Keywords :
Bayes methods; distributed decision making; game theory; wireless LAN; Nash-Stackeleberg equilibrium; PoA; RAN; Stackelberg game; automated dynamic offset selection; base station; cell association; channel quality; global network performance; global utility; hierarchical Bayesian game framework; hierarchical decision approach; network planner; partial CSI; partial statistical channel state information; price of anarchy; radio access network; social welfare; wireless networks; Base stations; Computers; Conferences; Games; IEEE 802.11 Standards; Throughput; Wireless communication; 3G; Bayes-Nash equilibrium; Bayes-Stackelberg equilibrium; Price of Anarchy; WLAN; association problem; channel state information; game theory; misleading information;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
INFOCOM, 2014 Proceedings IEEE
Conference_Location :
Toronto, ON
Type :
conf
DOI :
10.1109/INFOCOM.2014.6848117
Filename :
6848117
Link To Document :
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