Spectrum sensing for digital primary signals in cognitive radio: A bayesian approach for maximizing spectrum utilization

IEEE Transactions on Wireless Communications

Volumn 12, Issue 4, 2013, Pages 1774-1782

  Zheng, Shoukang ^a   Kam, Pooi Yuen ^b   Liang, Ying Chang ^a   Zeng, Yonghong ^a  

^a INSTITUTE FOR INFOCOMM RESEARCH   (Singapore)

^b NATIONAL UNIVERSITY OF SINGAPORE   (Singapore)

Author keywords

Bayesian detector; energy detector; likelihood ratio test; Spectrum sensing

Indexed keywords

BAYESIAN DETECTORS; COGNITIVE RADIO NETWORK; ENERGY DETECTORS; LIKELIHOOD RATIO TESTS; PERFORMANCE ANALYSIS; PHASE-SHIFTED SIGNALS; SPECTRUM SENSING; SPECTRUM UTILIZATION;

BAYESIAN NETWORKS; BINARY PHASE SHIFT KEYING; COGNITIVE RADIO; SIGNAL DETECTION; SIGNAL TO NOISE RATIO; STATISTICAL TESTS; STRUCTURAL OPTIMIZATION;

DETECTORS;

EID: 84877748250     PISSN: 15361276     EISSN: None     Source Type: Journal    
DOI: 10.1109/TWC.2013.030413.120735     Document Type: Article

References (25)

1. FCC, "Spectrum policy task force report," FCC ET Docket No. 02-135, Washington, DC, Nov. 2002.
2. FCC, "Notice of proposed rule making and order," FCC ET Docket No. 03-222, Dec. 2003. 1 2 3 4 5 6 0.832 0.834 0.836 0.838 0.84 0.842 0.844 0.846 0.848 0.85 0.852 SNR (dB) SU Throughput ED BD HABD Fig. 10. Secondary users' throughput of ED, BD and H-ABD vs. SNR (dB) for BPSK modulated primary signals over AWGN channels in the high SNR regime. 1 2 3 4 5 6 100.02 100.01 SNR(dB) Spectrum Utilization ED BD HABD Fig. 11. Spectrum utilization of ED, BD and H-ABD vs. SNR (dB) for BPSK modulated primary signals over AWGN channels in the high SNR regime.
3. M. H. Islam, C. L. Koh, S. W. Oh, X. Qing, Y. Y. Lai, C. Wang, Y.-C. Liang, B. E. Toh, F. Chin, G. L. Tan, and W. Toh, "Spectrum survey in Singapore: occupancy measurements and analyses," in Proc. 2008 Int. Conf. Cognitive Radio Oriented Wireless Networks and Communications CrownCom, pp. 1-7.
4. V. Valenta, R. Marsalek, G. Baudoin, M. Villegas, M. Suarez, and F. Robert, "Survey on spectrum utilization in Europe: measurements, analyses and observations," in Proc. 2010 Int. Conf. Cognitive Radio Oriented Wireless Networks and Communications CrownCom, pp. 1-6.
5. J. Mitola, III and G. Q. Maguire, "Cognitive radio: making software radios more personal," IEEE Personal Commun., vol. 6, no. 4, pp. 13-18, 1999.
6. 802.22 Working Group, "IEEE 802.22 D1: Draft Standard for Wireless Regional Area Networks," Mar. 2008.
7. H. Urkowitz, "Energy detection of unknown deterministic signals," Proc. IEEE, vol. 55, no. 4, pp. 523-531, 1967.
8. V. I. Kostylev, "Energy detection of a signal with random amplitude," in Proc. 2002 IEEE Int. Conf. Communications, vol. 3, pp. 1606-1610.
9. F. Digham, M.-S. Alouini, and M. K. Simon, "On the energy detection of unknown signals over fading channels," IEEE Trans. Commun., vol. 55, no. 1, pp. 21-24, 2007. (Pubitemid 46351039)
10. Y.-C. Liang, Y. H. Zeng, E. Peh, and A. T. Hoang, "Sensing- throughput tradeoff for cognitive radio networks," IEEE Trans. Wireless Commun., vol. 7, no. 4, pp. 1326-1337, Apr. 2008.
11. Y. H. Zeng and Y.-C. Liang, "Eigenvalue based spectrum sensing algorithms for cognitive radio," IEEE Trans. Commun., vol. 57, no. 6, pp. 1784-1793, 2009.
12. Y. H. Zeng and Y.-C. Liang, "Spectrum-sensing algorithms for cognitive radio based on statistical covariances," IEEE Trans. Veh. Technol., vol. 58, no. 4, pp. 1804-1815, 2009.
13. Z. Tian and G. B. Giannakis, "A wavelet approach to wideband spectrum sensing for cognitive radios," in Proc. 2006 Int. Cognitive Radio Oriented Wireless Networks and Communications Conf., pp. 1-5.
14. T. Ÿucek and H. Arslan, "A survey of spectrum sensing algorithms for cognitive radio applications," IEEE Commun. Surveys & Tutorials, vol. 11, no. 1, pp. 116-130, 2009.
15. W. A. Gardner, "Exploitation of spectral redundancy cyclostationary signals," IEEE Signal Process. Mag., vol. 8, no. 2, pp. 14-36, 1991.
16. W. A. Gardner, "Spectral correlation of modulated signals-part I: analog modulation," IEEE Trans. Commun., vol. 35, no. 6, pp. 584-594, 1987.
17. W. A. Gardner, W. A. Brown III, and C.-K. Chen, "Spectral correlation of modulated signals-part II: digital modulation," IEEE Trans. Commun., vol. 35, no. 6, pp. 595-601, 1987.
18. Y. H. Zeng, Y.-C. Liang, A. T. Hoang, and R. Zhang, "A review on spectrum sensing for cognitive radio: challenges and solutions," EURASIP J. Advances in Signal Process., no. 1, pp. 1-15, 2010.
19. A. Sahai, N. Hoven, and R. Tandra, "Some fundamental limits on cognitive radio," in 2004 Allerton Conference on Communication, Control, and Computing.
20. J. G. Proakis, Digital Communications, 4th edition. McGraw-Hill, 2001.
21. H. L. Van-Trees, Detection, Estimation and Modulation Theory. John Wiley & Sons Inc., 2001.
22. H. V. Poor, An Introduction to Signal Detection and Estimation (Springer Texts in Electrical Engineering), Springer.
23. R. Li, P. Y. Kam, and H. Fu, "New representations and bounds for the generalized marcum Q-function via a geometric approach, and an application," IEEE Trans. Commun., vol. 58, no. 1, pp. 157-169, Jan. 2010.
24. S. Zheng, P.-Y. Kam, Y.-C. Liang, and Y. Zeng, "Bayesian spectrum sensing for digitally modulated primary signals in cognitive radio," in Proc. 2011 IEEE Vehicular Technology Conf.-Spring, pp. 1-5.
25. M. Wu, X. Lin and P.-Y. Kam, "New exponential lower bounds on the Gaussian Q-function via Jensen's inequality," in Proc. 2011 IEEE Vehicular Technology Conf.-Spring, pp. 1-5.