Mobility

Learning to Use the Spectrum in Self-Configuring Heterogenous Networks: A Logit Equilibrium Approach

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Executive Summary

In this paper, the authors 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, they focus on the case of heterogeneous networks, where radio devices have different interests (utility functions), transmit configurations (sets of actions), as well as different signal processing and calculation capabilities. The underlying assumptions of this work are the followings: the network is described by a set of states, for instance, the channel realization vector; radio devices are interested in their long-term average performance rather than instantaneous performance and each radio device is able to obtain a measure of its achieved performance at least once after updating its transmission configuration.

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