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Upper confidence bound based decision making strategies and dynamic spectrum access

Abstract : In this paper, we consider the problem of exploiting spectrum resources for a secondary user (SU) of a wireless communication network. We suggest that Upper Confidence Bound (UCB) algorithms could be useful to design decision making strategies for SUs to exploit intelligently the spectrum resources based on their past observations. The algorithms use an index that provides an optimistic estimation of the availability of the resources to the SU. The suggestion is supported by some experimental results carried out on a specific dynamic spectrum access (DSA) framework. the design of satellites' on-board computers based on the use of non rad-hard devices while keeping the security and functioning safety constraints. The topics dealt with in this context will be based on the dynamic programming related to the exploitation of data provided by the development of auto diagnostic tools for embedded re-programmable devices, considering safety/power consumption trade-offs.
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Conference papers
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Submitted on : Friday, June 4, 2010 - 2:36:26 PM
Last modification on : Monday, January 24, 2022 - 2:08:03 PM


  • HAL Id : hal-00489331, version 1


Wassim Jouini, Damien Ernst, Christophe Moy, Jacques Palicot. Upper confidence bound based decision making strategies and dynamic spectrum access. International Conference on Communications, ICC'10, May 2010, Cape Town, South Africa. 5 p. ⟨hal-00489331⟩



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