Article

A Hierarchical Approach for the Association Problem with Misleading Partial Channel State Information

07/2012;
Source: arXiv

ABSTRACT In this paper, we develop a hierarchical Bayesian game framework where 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
show by means of a Stackelberg formulation, how the operator, by sending
appropriate information about the state of the channel, can optimize 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.

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Keywords

appropriate information
 
base station
 
channel quality
 
global network performance
 
good trade-off
 
hierarchical Bayesian game framework
 
hierarchical decision approach
 
network goal
 
own
 
own measurement
 
partial statistical channel state information
 
particular
 
RAN
 
Stackelberg formulation
 
Stackelberg game
 
user's goal
 
users
 
wireless networks