Comparison of linear and polynomial classifiers for co-operative cognitive radio networks

IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC

Volumn , Issue , 2010, Pages 797-802

  Hassan, Yasmin ^a   El Tarhuni, Mohamed ^a   Assaleh, Khaled ^a  

^a AMERICAN UNIVERSITY OF SHARJAH   (United Arab Emirates)

Author keywords

Cognitive radios; Component; Cooperative spectrum sensing; Linear classifiers; Polynomial classifiers

Indexed keywords

COGNITIVE RADIO; COMPONENT; COOPERATIVE SPECTRUM SENSING; LINEAR CLASSIFIERS; POLYNOMIAL CLASSIFIERS;

CLASSIFIERS; ERRORS; FREQUENCY BANDS; POLYNOMIALS; RADIO COMMUNICATION; RADIO SYSTEMS; SIGNAL TO NOISE RATIO;

RADIO;

EID: 78751541419     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/PIMRC.2010.5671981     Document Type: Conference Paper

References (19)

1. N. Devroye, M.Vu, and V. Tarokh "Cognitive radio networks," IEEE Signal Processing Magazine, pp. 12-23, November 2008.
2. F. Granelli, et al., "Standardization and research in cognitive and dynamic spectrum access networks: IEEE SCC41 efforts and other activities," IEEE Communications Magazine, pp. 71-78, January, 2010
3. st ed. Springer, 2007.
4. Z. Quan,, S.Cui, and A.H. Sayed, "Optimal linear cooperation for spectrum sensing in cognitive radio," IEEE Journal of Selected Topics in Signal Processing, vol.2, pp.23-40, 2008.
5. T. Yucek and H. Arslan, "A survey of spectrum sensing algorithms for cognitive radio applications," IEEE Communications Surveys & Tutorials, vol.11, pp.116-130, 2009.
6. B.Wang, "Dynamic spectrum allocation and sharing in cognitive cooperative networks" Ph.D. dissertation, University of Maryland, 2009.
7. D. Cabric, A. Tkachneko, and R.W. Brodersen, "Experimental study of spectrum sensing based on energy detection and network cooperation," Berkeley Wireless Research Center, Berkeley, USA, Tech. Rep. 916-1010-BB, 1997.
8. D. Cabric, S. Mishra, and R. Brodersen, "Implementation issues in spectrum sensing for cognitive radios," in Proc. Asilomar Conf. on Signals, Systems and Computers, vol. 1, Pacific Grove, California, USA, Nov. 2004, pp. 772-776.
9. S. Shankar, C. Cordeiro, and K. Challapali, "Spectrum agile radios: utilization and sensing architectures," in Proc. IEEE Int. Symposium on New Frontiers in Dynamic Spectrum Access Networks, Baltimore, Maryland, USA, Nov. 2005, pp. 160-169.
10. T.Yücek and H. Arslan, "Spectrum characterization for opportunistic cognitive radio systems," in Proc. IEEE Military Commun. Conf., Washington, D.C., USA, Oct. 2006, pp. 1-6.
11. L.L.Huang, A.Shimizu, Y.Hagihra, and H.Kobatake "Gradient feature extraction for classification-based face detection s," Pattern Recognition, vol.36, pp.2501-2511, 2003.
12. th ed., McGraw-Hill, 2008.
13. S. Theodoridis and K. Koutroumbas, Pattern Recognition, 3rd ed. San Diego: Academic Press, 2006.
14. M. Khasawneh, K. assaleh, W. Sweidan and M. Haddad, "The application of polynomial discriminant function classifiers to isolated Arabic speech recognition," in Proc. IEEE Int. Conf on Neural Networks, Budapest, Hungary, July.2004, pp. 3077-3081.
15. W.M. Campbell, K.T. Assaleh, and C.C. Broun, "Speaker recognition with polynomial classifiers," IEEE Trans. on Speech and Audio Processing, vol.10, pp.205-212, 2002.
16. D. Srinivasan and V. Sharma, "A reduced multivariate polynomial based neural network model pattern classifier for freeway incident detection," in Proc. Int. Conf on Neural Networks, Orlando, Florida, USA, Aug.2007, pp. 12-17.
17. D. F. Specht, "Generation of polynomial discriminant functions for pattern recognition," IEEE Trans. on Electronic Computers,vol.16, pp.308-319, 1967.
18. S.Haykin, Neural Networks and Learning Machines, 3rd ed. New Jersey: Academic Press, 2009.
19. C. Cordeiro, K.Challpali, and D. Birru, "IEEE 802.22: An introduction to the first wireless standard based on cognitive radios," IEEE Journal of Communications, vol.1, pp.38-47, 2006.