Research Article
Upper Confidence Bound Algorithm for Opportunistic Spectrum Access with Sensing Errors
@INPROCEEDINGS{10.4108/icst.crowncom.2011.245851, author={Wassim Jouini and Christophe Moy and Jacques Palicot}, title={Upper Confidence Bound Algorithm for Opportunistic Spectrum Access with Sensing Errors}, proceedings={6th International ICST Conference on Cognitive Radio Oriented Wireless Networks and Communications}, publisher={IEEE}, proceedings_a={CROWNCOM}, year={2012}, month={5}, keywords={Cognitive Radio Opportunistic Spectrum Access Upper Confidence Bound Algorithm Imperfect Sensing Sensing Errors}, doi={10.4108/icst.crowncom.2011.245851} }- Wassim Jouini
Christophe Moy
Jacques Palicot
Year: 2012
Upper Confidence Bound Algorithm for Opportunistic Spectrum Access with Sensing Errors
CROWNCOM
IEEE
DOI: 10.4108/icst.crowncom.2011.245851
Abstract
In this paper we consider the problem of exploiting spectrum resources within the Opportunistic Spectrum Access context. We mainly focus on the case where one secondary user (SU) probes a pool of possibly available channels dedicated to a primary network. The SU is assumed to have imperfect sensing abilities. We, first, model the problem as a Multi-Armed Bandit problem with sensing errors. Then, we suggest to analyze the performances of the well known Upper Confidence Bound algorithm UCB1 within this framework, and show that we still can obtain an order optimal channel selection behavior. Finally we compare these results to those obtained in the case of perfect sensing. Simulation results are provided to support the suggested approach.
