A spectrum surveying framework for dynamic spectrum access networks

IEEE Transactions on Vehicular Technology

Volumn 58, Issue 8, 2009, Pages 4158-4168

  Datla, Dinesh ^a,b   Wyglinski, Alexander M ^a,c   Minden, Gary J ^a  

^a UNIVERSITY OF KANSAS   (United States)

^b State University   (United States)

^c Worcester Polytechnic Institute   (United States)

Author keywords

Characterization of spectrum; Dynamic spectrum access (DSA) networks; Measurement data classification; Spectrum measurements; Spectrum sensing

Indexed keywords

APRIORI; CLASSIFICATION ACCURACY; DISTRIBUTED APPROACHES; DYNAMIC RANGE; DYNAMIC SPECTRUM ACCESS; DYNAMIC SPECTRUM ACCESS (DSA) NETWORKS; FALSE-ALARM RATES; GENERIC SPECTRUM; MATHEMATICAL TOOLS; MEASUREMENT DATA CLASSIFICATION; MISS-DETECTION; PROCESSING TECHNIQUE; RF CHARACTERISTICS; SPECTRUM MEASUREMENT; SPECTRUM MEASUREMENTS; SPECTRUM POLICY; SPECTRUM SENSING; SPECTRUM UTILIZATION;

ANALOG DIFFERENTIAL ANALYZERS; CLASSIFICATION (OF INFORMATION); DATA PROCESSING; ELECTRIC MEASURING INSTRUMENTS; MEASUREMENTS; SIGNAL TO NOISE RATIO; SPECTROSCOPY; SURVEYING; WIRELESS NETWORKS;

SPECTRUM ANALYSIS;

EID: 70350233212     PISSN: 00189545     EISSN: None     Source Type: Journal    
DOI: 10.1109/TVT.2009.2021601     Document Type: Article

References (24)

1. F. Weidling, D. Datla, V. Petty, P. Krishnan, and G. J. Minden, "A framework for RF spectrum measurements and analysis," in Proc. IEEE Int. Symp. New Frontiers Dyn. Spectrum Access Netw., Baltimore, MD, Nov. 2005, pp. 573-576.
2. A. J. Petrin, "Maximizing the utility of radio spectrum: Broadband spectrum measurements and occupancy model for use by cognitive radio," Ph.D. dissertation, School Elect. Comput. Eng., Georgia Inst. Technol., Atlanta, GA, Aug. 2005.
3. A. Petrin and P. G. Steffes, "Analysis and comparison of spectrum measurements performed in urban and rural areas to determine the total amount of spectrum usage," in Proc. Int. Symp. Adv. Radio Technol. Boulder, CO, Mar. 2005, pp. 9-12.
4. A. Petrin and P. G. Steffes, "Study of spectrum usage and potential interference to passive remote sensing activities in the 4.5 cm and 21 cm bands," in Proc. IEEE Int. Geosci. Remote Sens. Symp., Anchorage, AK, Sep. 2004, vol. 3, pp. 1679-1682.
5. J. R. Hoffman and R. J. Matheson, "RSMS measurement and analysis of LMR channel usage," in Proc. Int. Symp. Adv. Radio Technol., Boulder, CO, Mar. 2005, pp. 13-19.
6. S. Ellingson, "Spectral occupancy at VHF: Implications for frequency-agile cognitive radios," in Proc. IEEE Veh. Technol. Conf. Dallas, TX, Sep. 2005, vol. 2, pp. 1379-1382.
7. M. A. McHenry, "NSF spectrum occupancy measurements project summary," Shared Spectrum Co., Vienna, VA, Tech. Rep., Aug. 2005.
8. D. Datla, R. Rajbanshi, A. M. Wyglinski, and G. J. Minden, "Parametric adaptive spectrum sensing framework for dynamic spectrum access networks," in Proc. 2nd IEEE Int. Symp. New Frontiers Dyn. Spectrum Access Netw., Dublin, Ireland, Apr. 2007, pp. 482-485.
9. A. Petrin and P. G. Steffes, "Measurement and analysis of urban spectrum usage," in Proc. Int. Symp. Adv. Radio Technol., Boulder, CO, Mar. 2004, pp. 45-48. NTIA Special Pub. SP-04-409.
10. G. F. Gott, S. K. Chan, C. A. Pantjiaros, and P. J. Laycock, "High frequency spectral occupancy at the solstices," Proc. Inst. Elect. Eng. - Commun., vol. 144, no. 1, pp. 24-32, Feb. 1997.
11. C. A. Pantjiaros, P. J. Laycock, G. F. Gott, and S. K. Chan, "Development of the Laycock-Gott occupancy model," Proc. Inst. Elect. Eng. - Commun., vol. 144, no. 1, pp. 33-39, Feb. 1997.
12. D. J. Percival, M. Kraetzl, and M. S. Britton, "A Markov model for HF spectral occupancy in Central Australia," in Proc. 7th Int. Conf. High Frequency Radio Syst. Tech., Nottingham, U.K., Jul. 1997, pp. 14-18.
13. D. Cabric, S. M. Mishra, and R. W. Brodersen, "Implementation issues in spectrum sensing for cognitive radios," in Proc. 38th Asilomar Conf. Signals, Syst., Comput., Pacific Grove, CA, Nov. 2004, vol. 1, pp. 772-776.
14. R. Tandra and A. Sahai, "Fundamental limits on detection in low SNR under noise uncertainty," in Proc. Int. Conf. Wireless Netw., Commun. Mobile Comput., 2005, vol. 1, pp. 464-469.
15. S. D. Jones, N. Merheb, and I.-J.Wang, "An experiment for sensing-based opportunistic spectrum access in CSMA/CA networks," in Proc. IEEE Int. Symp. New Frontiers Dyn. Spectrum Access Netw., Baltimore, MD, Nov. 2005, pp. 593-596.
16. N. Otsu, "A threshold selection method from gray-level histograms," IEEE Trans. Syst., Man, Cybern., vol. SMC-9, no. 1, pp. 62-66, Jan. 1979.
17. M. Sonka, V. Hlavac, and R. Boyl, Image Processing, Analysis and Machine Vision, 2nd ed. Pacific Grove, CA: Brooks/Cole.
18. M. Cheriet, J. N. Said, and C. Y. Suen, "A recursive thresholding technique for image segmentation," IEEE Trans. Image Process., vol. 7, no. 6, pp. 918-921, Jun. 1998.
19. S. O. Rice, "Mathematical analysis of random noise," Bell Syst. Technol. J., vol. 24, pp. 46-156, 1945.
20. M. Pagano and K. Gauvreau, Principles of Biostatistics, 2nd ed. Pacific Grove, CA: Duxbury, Mar. 2000.
21. XG Working Group, "The XG architectural framework: Request for comments," BBN Technol., Cambridge, MA. ver. 1.0, Tech. Rep.
22. M. McHenry, "Spectrum measurements to support dynamic spectrum sharing research and development," presented at the National Science Foundation (NSF) Future Spectrum Technology Policy Workshop, Washington, DC, May 25-27, 2005.
23. M.-H. Chang and K.-H. Lin, "A comparative investigation on urban radio noise at several specific measured areas and its applications for communications," IEEE Trans. Broadcast., vol. 50, no. 3, pp. 233-243, Sep. 2004.
24. R. Rajbanshi, V. R. Petty, D. Datla, F. Weidling, D. DePardo, P. Kolodzy, M. J. Marcus, A. M. Wyglinski, J. B. Evans, G. J. Minden, and J. A. Roberts, "Feasibility of dynamic spectrum access in underutilized television bands," in Proc. 2nd IEEE Int. Symp. New Frontiers Dyn. Spectrum Access Netw., Dublin, Ireland, Apr. 2007, pp. 331-339.