Skip to main content

Introduction

  • Chapter
  • First Online:
Cognitive Radio Networks

Part of the book series: SpringerBriefs in Computer Science ((BRIEFSCOMPUTER))

  • 552 Accesses

Abstract

Built on a software-defined radio, cognitive radio (CR) is generally defined as an intelligent wireless communication paradigm with the awareness of its environment, which is able to learn from the environment and adapt to statistical variations in the input stimuli using understanding-by-building methodology. It is proposed to achieve efficient radio spectrum utilization, as well as high reliable communication whenever and wherever needed.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

eBook
USD 16.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 16.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. J. Mitola et al., “Cognitive radio: Making software radios more personal,” IEEE Pers. Commun., vol. 6, no. 4, pp. 13–18, Aug. 1999.

    Google Scholar 

  2. J. Mitola, “Cognitive radio: An integrated agent architecture for software defined radio,” Dissertation, Doctor of Technology, Royal Inst. Technol. (KTH), Stockholm, Sweden, 2000.

    Google Scholar 

  3. B. Farhang-Boroujeny and R. Kempter, “Multicarrier communication techniques for spectrum sensing and communication in cognitive radios,” IEEE Commun. Mag., vol. 46, no. 4, pp. 80–85, April 2008.

    Google Scholar 

  4. H. Mahmoud, T. Yucek and H. Arslan, “OFDM for cognitive radio: merits and challenges,” IEEE Wireless Commun., vol. 16, no. 2, pp. 6–15, Apr. 2009.

    Google Scholar 

  5. Federal Communications Commission, “ Spectrum Policy Task Force,” ET Docket, no. 02-135, Nov. 2002.

    Google Scholar 

  6. Federal Communications Commission, “Facilitating opportunities for flexible, efficient and reliable spectrum use employing cognitive radio technologies: Notice of proposed rulemaking and order,” ET Docket, no. 03-108, Dec. 2003.

    Google Scholar 

  7. I. F. Akyildiz, W.-Y. Lee, M. C. Vuran, and S. Mohanty, “Next generation/dynamic spectrum access/cognitive radio wireless networks: A survey,” Comput. Netw., vol. 50, pp. 2127–2159, May 2006.

    Google Scholar 

  8. Simon Haykin, “Cognitive radio: brain-empowered wireless communications,” IEEE J. Sel. Areas Commun., vol. 23, no. 2, pp. 201–220, Feb. 2005.

    Google Scholar 

  9. B. Wang, K. J. R. Liu, “Advances in cognitive radio networks: A survey,” IEEE J. Sel. Topics Signal Process., vol. 5, no. 1, pp. 5–23, Feb. 2011.

    Google Scholar 

  10. Federal Communications Commission, “Establishment of interference temperature metric to quantify and manage interference and to expand available unlicensed operation in certain fixed mobile and satellite frequency bands,” ET Docket, no. 03-289, 2003.

    Google Scholar 

  11. P. J. Kolodzy, “Interference temperature: A metric for dynamic spectrum utilization,” Int. J. Netw. Manage., vol. 16, no. 2, pp. 103–113, Mar. 2006.

    Google Scholar 

  12. M. Wylie-Green, “Dynamic Spectrum Sensing by Multiband OFDM Radio for Interference Mitigation,” IEEE DySPAN, pp. 619–25, 2005.

    Google Scholar 

  13. T. Weiss, J. Hillenbrand, and F. Jondral, “A Diversity Approach for the Detection of Idle Spectral Resources in Spectrum Pooling Systems,” Proc. 48th Int’l. Scientific Colloq., Ilmenau, Germany, Sep. 2003.

    Google Scholar 

  14. T. Keller and L. Hanzo, “Adaptive Modulation Techniques for Duplex OFDM Transmission,” IEEE Trans. Vehic. Tech., vol. 49, no. 5, pp. 1893–1906, Sep. 2000.

    Google Scholar 

  15. D. T. Harvatin and R. E. Ziemer, “Orthogonal Frequency Division Multiplexing Performance in Delay and Doppler Spread Channels,” Proc. IEEE VTC, vol. 3, May 1997.

    Google Scholar 

  16. IEEE Standard Computer Dictionary: A Compilation of IEEE Standard Computer Glossaries, IEEE Comp. Soc. Press, 1990.

    Google Scholar 

  17. “IEEE standard for local and metropolitan area networks part 16 and amendment 2,” IEEE Tech. rep. 802. 16e, Feb. 2006.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Shaowei Wang .

Rights and permissions

Reprints and permissions

Copyright information

© 2014 The Author(s)

About this chapter

Cite this chapter

Wang, S. (2014). Introduction. In: Cognitive Radio Networks. SpringerBriefs in Computer Science. Springer, Cham. https://doi.org/10.1007/978-3-319-08936-2_1

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-08936-2_1

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-08935-5

  • Online ISBN: 978-3-319-08936-2

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics