On decision making for dynamic configuration adaptation problem in cognitive radio equipments: a multi-armed bandit based approach

Abstract : We introduce in this paper the notion of "design space" as a conceptual object that defines a set of cognitive radio decision making problems by their constraints rather than by their degrees of freedom. We identified, in our analysis work, three dimensions of constrains: the environment's, the equipment's and the user's related constrains. Moreover , we define and use the notion of a priori knowledge, to show that the tackled challenges by the radio community to solve configuration adaptation decision making problems have often the same design space, however they differ by the a priori knowledge they assume available. Consequently, we suggest in this paper, the "a priori knowledge" as a classification criteria to discriminate the main proposed techniques in the literature to solve configuration adaptation decision making problems. In the rest of the paper we propose to further study a particular decision making framework where no a priori (or limited) information is provided to the cognitive radio equipment. An approach based on tools borrowed from the multi-armed bandit community is discussed. Finally, our simulation results highlight that by customizing algorithms developed for solving the multi-armed bandit, efficient engineering solutions to some problems met in cognitive radio can indeed be built.
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Conference papers
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https://hal-supelec.archives-ouvertes.fr/hal-00489310
Contributor : Myriam Andrieux <>
Submitted on : Friday, June 4, 2010 - 2:23:22 PM
Last modification on : Friday, November 16, 2018 - 1:28:04 AM

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  • HAL Id : hal-00489310, version 1

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Wassim Jouini, Christophe Moy, Jacques Palicot. On decision making for dynamic configuration adaptation problem in cognitive radio equipments: a multi-armed bandit based approach. 6th Karlsruhe Workshop on Software Radios, Mar 2010, Karlsruhe, Germany. 10 p. ⟨hal-00489310⟩

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