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5 - The spectrum and channel environment

from Part II - Generalized environmental characterization

Published online by Cambridge University Press:  05 December 2012

Preston Marshall
Affiliation:
University of Southern California
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Publisher: Cambridge University Press
Print publication year: 2012

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References

1 C. E., Shannon, “A mathematical theory of communication,” Bell System Technical Journal, vol. 27, pp. 379–423 and 623–656, July and Oct. 1948.Google Scholar
2 M., McHenry, P., Tenhula, D., McCloskey, D., Roberson, and C., Hood, “Chicago spectrum occupancy measurements & analysis and a long-term studies proposal,” in Proceedings of the First International Workshop on Technology and Policy for Accessing Spectrum (TAPAS), Boston, MA, 2006.Google Scholar
3 P. F., Marshall, “Closed-form analysis of spectrum characteristics for cognitive radio performance analysis,” in 3rd IEEE Symposium on New Frontiers in Dynamic Spectrum Access Networks, Oct. 14–17, 2008, pp. 1–12.Google Scholar
4 P. F., Marshall, “Dynamic spectrum management of front-end linearity and dynamic range,” in 3rd IEEE Symposium on New Frontiers in Dynamic Spectrum Access Networks, Oct. 14–17, 2008, pp. 1–12.Google Scholar
5 P. F., Marshall, “A Generalized Method for Quantification of Cognitive Radio Benefits within Wireless Systems,” Ph.D. dissertation, Trinity College, Dublin, IE, Oct. 2009.Google Scholar
6 P.F., Marshall, Quantitative Analysis of Cognitive Radio and Network Performance. Norwood, MA: Artech House, 2010.Google Scholar
7 M., McHenry and K., Steadman, “Spectrum occupancy measurements, location 1 of 6: Riverbend Park, Great Falls, Virginia,” Technical Report National Science Foundation, Shared Spectrum Company Report, Aug. 2005.Google Scholar
8 M., McHenry and K., Steadman, “Spectrum occupancy measurements, location 2 of 6: Tyson's Square Center, Vienna, Virginia, April 9, 2004,” Technical Report National Science Foundation Shared Spectrum Company Report, Aug. 2005.Google Scholar
9 M., McHenry and K., Steadman, “Spectrum occupancy measurements, location 4 of 6: Republican National Convention, New York City, New York, August 30, 2004–September 3, 2004, revision 2,” Technical Report National Science Foundation Shared Spectrum Company Report, Aug. 2005.Google Scholar
10 M., McHenry and K., Steadman, “Spectrum occupancy measurements, location 5 of 6: National Radio Astronomy Observatory (NRAO), Green Bank, West Virginia, October 10–11, 2004,” Technical Report, Aug. 2005.Google Scholar
11 M., McHenry and K., Steadman, “Spectrum occupancy measurements, location 6 of 6: Shared Spectrum Building Roof, Vienna, Virginia, December 15–16, 2004,” Technical Report National Science Foundation Shared Spectrum Company Report, Aug. 2005.Google Scholar
12 C., Ghosh, M. B., Rao, and S., Roy, “Spectrum availability modeling and validation using realtime measurements,” in CoRoNet'10, Chicago, IL, September 20, 2010.Google Scholar
13 M., Win, P., Pinto, and L., Shepp, “A mathematical theory of network interference and its applications,” Proceedings of the IEEE, vol. 97, no. 2, Feb. 2009.Google Scholar
14 R., Bacchus, A., Fertner, C., Hood, and D., Roberson, “Long-term, wide-band spectral monitoring in support of dynamic spectrum access networks at the IIT spectrum observatory,” in 3rd IEEE International Symposium on New Frontiers in Dynamic Spectrum Access Networks, Chicago, IL, Oct. 2008.Google Scholar
15 P. F., Marshall, “Cognitive radio as a mechanism to manage front-end linearity and dynamic range,” IEEE Communications Magazine, vol. 47, no. 3, pp. 81–87, Mar. 2009.Google Scholar

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  • The spectrum and channel environment
  • Preston Marshall, University of Southern California
  • Book: Scalability, Density, and Decision Making in Cognitive Wireless Networks
  • Online publication: 05 December 2012
  • Chapter DOI: https://doi.org/10.1017/CBO9781139058599.006
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  • The spectrum and channel environment
  • Preston Marshall, University of Southern California
  • Book: Scalability, Density, and Decision Making in Cognitive Wireless Networks
  • Online publication: 05 December 2012
  • Chapter DOI: https://doi.org/10.1017/CBO9781139058599.006
Available formats
×

Save book to Google Drive

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.

  • The spectrum and channel environment
  • Preston Marshall, University of Southern California
  • Book: Scalability, Density, and Decision Making in Cognitive Wireless Networks
  • Online publication: 05 December 2012
  • Chapter DOI: https://doi.org/10.1017/CBO9781139058599.006
Available formats
×