Knowledge management framework for robust cognitive radio operation in non-stationary environments
作者： F. Bouali , O. Sallent , J. Perez-Romero
DOI: 10.1109/PIMRC.2013.6666665
关键词:
摘要: To increase cognitive radio operation efficiency, this paper proposes a new knowledge management functional architecture, based on the fittingness factor concept, for supporting spectrum in non-stationary environments. It includes reliability tester module that detects, hypothesis testing, relevant changes suitability levels of resources to support set heterogeneous applications. These are captured through advanced statistics stored database and exploited by proactive strategy assist both selection mobility functionalities. The results reveal proposed is able disregard due intrinsic randomness environment efficiently detect actual interference conditions pools. Thanks support, exhibits substantial robustness when becomes non-stationary, obtaining performance improvements up 75% with respect reference case does not make use functionality.
coventry.ac.uk
sci-hub.se 参考文章(13)
Won-Yeol Lee, I F Akyldiz, A Spectrum Decision Framework for Cognitive Radio Networks IEEE Transactions on Mobile Computing. ,vol. 10, pp. 161- 174 ,(2011) , 10.1109/TMC.2010.147
J.O. Kephart, D.M. Chess, The vision of autonomic computing IEEE Computer. ,vol. 36, pp. 41- 50 ,(2003) , 10.1109/MC.2003.1160055
Yang Li, Yuning Dong, Hui Zhang, Haitao Zhao, Haixian Shi, Xingxing Zhao, QoS Provisioning Spectrum Decision Algorithm Based on Predictions in Cognitive Radio Networks 2010 International Conference on Computational Intelligence and Software Engineering. pp. 1- 4 ,(2010) , 10.1109/WICOM.2010.5601233
Panagiotis Demestichas, Kostas Tsagkaris, Vera Stavroulaki, Cognitive management systems for supporting operators in the emerging Future Internet era 2010 IEEE 21st International Symposium on Personal, Indoor and Mobile Radio Communications Workshops. pp. 21- 25 ,(2010) , 10.1109/PIMRCW.2010.5670366
Nathaniel Schenker, Jane F Gentleman, On Judging the Significance of Differences by Examining the Overlap Between Confidence Intervals The American Statistician. ,vol. 55, pp. 182- 186 ,(2001) , 10.1198/000313001317097960
Faouzi Bouali, Oriol Sallent, Jordi Pérez-Romero, Ramon Agustí, A Fittingness Factor-Based Spectrum Management Framework for Cognitive Radio Networks Wireless Personal Communications. ,vol. 72, pp. 1675- 1689 ,(2013) , 10.1007/S11277-013-1128-6
S. Haykin, Cognitive radio: brain-empowered wireless communications IEEE Journal on Selected Areas in Communications. ,vol. 23, pp. 201- 220 ,(2005) , 10.1109/JSAC.2004.839380
P. Demestichas, G. Dimitrakopoulos, J. Strassner, Didier Bourse, Introducing reconfigurability and cognitive networks concepts in the wireless world IEEE Vehicular Technology Magazine. ,vol. 1, pp. 32- 39 ,(2006) , 10.1109/MVT.2006.283572
Elena Meshkova, Z Wang, Jad Nasreddine, Daniel Denkovski, C Zhao, Krisakorn Rerkrai, Tim Farnham, A Ahmad, Alain Gefflaut, Liljana Gavrilovska, Petri Mähönen, None, Using cognitive radio principles for wireless resource management in home networking 2011 IEEE Consumer Communications and Networking Conference (CCNC). pp. 669- 673 ,(2011) , 10.1109/CCNC.2011.5766566
Ryan Thomas, Daniel Friend, Luiz Dasilva, Allen Mackenzie, Cognitive networks: adaptation and learning to achieve end-to-end performance objectives IEEE Communications Magazine. ,vol. 44, pp. 51- 57 ,(2006) , 10.1109/MCOM.2006.273099