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Mobile Networks and Applications

, Volume 13, Issue 5, pp 411–415 | Cite as

Guest Editorial: Special Issue on Cognitive Radio Oriented Wireless Networks and Communications

  • Y. Thomas Hou
  • Alexander M. Wyglinski
  • Maziar Nekovee
  • Honggang Zhang
  • Rajarathnam Chandramouli
  • Frederick Martin
Article

Background

In recent years, there has been an exponential rise in the number of wireless standards such as 802.11 a,b,g,n (and more), 802.15 (Bluetooth, Zigbee, UWB), WCDMA (and several modes), CDMA 2000 (1xEV-DV, 1xEVDO), Wireless USB, and 802.16 (various modes) to name just the most prominent standards. The abundance of standards today is the result of a desire in the industry to support new applications, with each standard custom-tailored to a specific operating environment and spectrum. It is not hard to envision that wireless coverage will be pervasive in the future and will support a variety of applications that are undreamed of today.

On the other hand, wireless spectrum access has been regulated with static spectrum allocation since the early 1920s, which assigns a fixed block of spectrum to each new wireless service for its exclusive use. Over the years, the remaining useful spectrum available for new wireless services is being exhausted. This is a serious problem since new...

Keywords

cognitive radio wireless networks 

References

  1. 1.
    McHenry M (2003) Spectrum white space measurements, presentation to New America Foundation Broad-Band Forum, June 20. http://www.newamerica.net/Download_Docs/pdfs/Doc_File_185_1.pdf
  2. 2.
    McHenry M, McCloskey D (2004) New York City spectrum occupancy measurements, September. http://www.sharedspectrum.com/inc/content/measurements/nsf/NYC_report.pdf
  3. 3.
    FCC (2003) “Facilitating opportunities for flexible, efficient, and reliable spectrum use employing cognitive radio technologies, notice of proposed rule making and order,” FCC 03-322.Google Scholar
  4. 4.
    FCC (2000) “In the matter of promoting efficient use of spectrum through elimination of barriers to the development of secondary markets,” WT Docket No. 00-230, FCC Record 20604.Google Scholar
  5. 5.
    FCC (2004) “Promoting efficient use of spectrum through elimination of barriers to the development of secondary markets,” WT Docket No. 00-230, report and order and further notice of proposed rulemaking, FCC 03-113 (secondary markets report and order and FNPRM).Google Scholar
  6. 6.
    Haykin S (2005) Cognitive radio: brain-empowered wireless communications. IEEE J Select Areas Commun 23(2):201–220CrossRefGoogle Scholar
  7. 7.
    Mitola J III (2000) Cognitive radio: an integrated agent architecture for software defined radio. Ph.D. thesis, KTH Royal Institute of TechnologyGoogle Scholar
  8. 8.
    Reed JH (2002) Software radio: a modern approach to radio engineering. Prentice Hall, Upper Saddle, NJGoogle Scholar
  9. 9.

Copyright information

© Springer Science+Business Media, LLC 2008

Authors and Affiliations

  • Y. Thomas Hou
    • 1
  • Alexander M. Wyglinski
    • 2
  • Maziar Nekovee
    • 3
  • Honggang Zhang
    • 4
  • Rajarathnam Chandramouli
    • 5
  • Frederick Martin
    • 6
  1. 1.Virginia Polytechnic Institute and State UniversityBlacksburgUSA
  2. 2.Worcester Polytechnic InstituteWorcesterUSA
  3. 3.BT ResearchSuffolkUK
  4. 4.Zhejiang UniversityHangzhouPeople’s Republic of China
  5. 5.Stevens Institute of TechnologyHobokenUSA
  6. 6.MotorolaPlantationUSA

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