Research Article
Learning to Use the Spectrum in Self-Configuring Heterogenous Networks: A Logit Equilibrium Approach
@INPROCEEDINGS{10.4108/valuetools.2011.247355, author={Samir Medina Perlaza and Samson Lasaulce and M. Debbah and Hamidou Tembine}, title={Learning to Use the Spectrum in Self-Configuring Heterogenous Networks: A Logit Equilibrium Approach}, proceedings={5th International ICST Conference on Performance Evaluation Methodologies and Tools}, publisher={ICST}, proceedings_a={VALUETOOLS}, year={2012}, month={7}, keywords={spectrum; heterogenous networks}, doi={10.4108/valuetools.2011.247355} }- Samir Medina Perlaza
Samson Lasaulce
M. Debbah
Hamidou Tembine
Year: 2012
Learning to Use the Spectrum in Self-Configuring Heterogenous Networks: A Logit Equilibrium Approach
VALUETOOLS
ICST
DOI: 10.4108/valuetools.2011.247355
Abstract
In this paper, we study the particular scenario where several transmitter-receiver pairs communicate subject to mutual interference due to the usage of the same frequency bands. In particular, we focus on the case of heterogeneous networks, where radio devices have di erent interests (utility functions), transmit con gurations (sets of actions), as well as di erent signal processing and calculation capabilities. The underlying assumptions of this work are the followings: (i) the network is described by a set of states, for instance, the channel realization vector; (ii) radio devices are interested in their long-term average performance rather than instantaneous performance; (iii) each radio device is able to obtain a measure of its achieved performance at least once after updating its transmission con guration. Considering these conditions, we model the heterogenous network by a stochastic game. Our main contribution consists of a family of behavioral rules that allow radio devices to achieve an epsilon-Nash equilibrium of the corresponding stochastic game, namely a logit equilibrium. A thorough analysis of the convergence properties of these behavioral rules is presented. Finally, our approach is used in the context of a classical parallel interference channel in order to compare with existing results.
