Identifying spectrum usage by unknown systems using experiments in machine learning

IEEE Wireless Communications and Networking Conference, WCNC

Volumn , Issue , 2009, Pages

  Shetty, Nikhil ^a   Pollin, Sofie ^a,b   Pawelczak, Przemyslaw ^c  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b IMEC   (Belgium)

^c DELFT UNIVERSITY OF TECHNOLOGY   (Netherlands)

Author keywords

[No Author keywords available]

Indexed keywords

CENTER FREQUENCY; GIBBS SAMPLING; MACHINE-LEARNING; MEASUREMENT CAMPAIGN; MEASUREMENT DATA; ON-LINE CLASSIFICATION; RADIO ENVIRONMENT; SPECTRUM USAGE; SYSTEM IDENTIFICATIONS; TRAINING PHASE; UNSUPERVISED CLUSTERING METHODS; WIRELESS SYSTEMS;

CLASSIFICATION (OF INFORMATION); ONLINE SYSTEMS; ROBOT LEARNING;

WIRELESS NETWORKS;

EID: 70349190728     PISSN: 15253511     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/WCNC.2009.4917741     Document Type: Conference Paper

References (11)

1. R. V. Prasad, P. Pawelczak, J. Hoffmeyer, and S. Berger, "Cognitive functionality in next generation wireless networks: Standardization efforts," IEEE Commun. Mag., vol. 46, no. 5, pp. 72-78, Apr. 2007.
2. M. Gandetto and C. Regazzoni, "Spectrum sensing: A distributed approach for cognitive terminals," IEEE J. Select. Areas Commun., vol. 25, no. 3, pp. 546-557, Apr. 2007.
3. C. Clancy, J. Hecker, E. Stuntebeck, and T. O'Shea, "Applications of machine learning to cognitive radio networks," IEEE Wireless Commun. Mag., vol. 14, no. 4, pp. 47-52, Aug. 2007.
4. B. Le, T. Rondeau, D. Maldonado, and C. W. Bostian, "Modulation identification using neural network for cognitive radios," in Proc. SDR Forum'05, Anaheim, CA, 2005.
5. I. O. Kennedy, P. Scanlon, F. J. Mullany, M. M. Buddhikot, K. E. Nolan, and T. W. Rondeau, "Radio transmitter fingerprinting: A steady state frequency domain approach," in Proc. IEEE VTC-Fall'08, Calgary, Canada, 2008.
6. V. Brik, S. Banerjee, M. Gruteser, and S. Oh, "Wireless device identification with radiometric signatures," in Proc. ACM MOBICOM'08, San Francisco, CA, 2008.
7. I. Olkin and H. Rubin, "Characterization of the Wishart distribution," The Annals of Mathematical Statistics, vol. 33, no. 4, pp. 1272-1280, Dec. 1962.
8. M. Jordan. (2005) Dirichlet processes, Chinese restaurant processes and all that. [Online]. Available: http://www.cs.berkeley.edu/̃jordan/ nips-tutorial05.ps
9. D. M. Blei and M. I. Jordan, "Variational methods for the Dirichlet process," in Proc. ICML'04, Banff, Alberta, Canada, 2004.
10. C. C. Aggarwal, J. Han, J. Wang, and P. S. Yu, "A framework for clustering evolving data streams," in Proc. VLDB'03, Berlin, Germany, 2003.
11. C. A. Bouman. Cluster: An Unsupervised Algorithm for Modeling Gaussian Mixtures. [Online]. Available: http://cobweb.ecn.purdue.edu/̃bouman/ software/cluster