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Cognitive Radio and its Application for Next Generation Cellular and Wireless Networks pp 3–26Cite as

Introduction to Cognitive Radio

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Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 116))

Abstract

The concept of Cognitive Radio (CR) appeared as a new paradigm in 1999 as an extension of Software Defined Radio (SDR). It describes the situation where intelligent radio devices and associated network entities communicate in such a manner that they are able to adjust their operating parameters according to the needs of the user/network, and learning from experience at the same time. Since then, there has been a significant amount of effort in the research community on CR-related topics. Standardization activities on Cognitive Radio Systems (CRS) (including TV WhiteSpaces—TVWS) have also been initiated and progressed in many standardization bodies. Almost all regulatory bodies in the USA, Europe and Asia–Pacific regions have acknowledged the importance of CRS on shaping the way spectrum is allocated. Regulators like FCC in USA and Ofcom in UK have opened the door for secondary access to unlicensed devices on TV bands. Finally, world radiocommunication conference (WRC) 2012 witness discussions on the required regulatory changes to allow the introduction of CRS. Despite all this progress, CR is mostly a research topic today, and the wireless market has not seen a mass commercial deployment/exploitation of the CR technology yet. Mitola’s full CR still remains a futuristic concept where a ubiquitous cognition is embedded into all types of devices/equipments/applications which are aware of our needs/wishes, executing them and rendering our daily lives easier.

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Notes

  1. 1.

    Note that the term secondary communications may also include information exchange on spectrum sensing for the purpose of enhancing detection accuracy. This occurs when CRs perform sensing in a collective manner, and is known as collaborative and/or cooperative sensing.

  2. 2.

    The theme of FP6 IST is mobile and wireless systems beyond 3G and broadband for all.

  3. 3.

    The European Radio equipment and Telecommunications Terminal Equipment Directive http://www.etsi.org/website/Technologies/RTTE.aspx.

  4. 4.

    Note that here, we are referring to statistical propagation models which are relatively computationally handy; and not to ray-tracing models which are precise but quite cumbersome.

References

  1. http://www.imit.kth.se/info/GRU/Events/Old-Seminars/1999/19990520-13.00%3ACCSLab-Seminar.html

  2. Mitola J III, Maguire GQ Jr (1999) Cognitive radio: making software radios more personal. IEEE Pers Commun Mag 6(4):13–18

    Article  Google Scholar 

  3. http://web.it.kth.se/~maguire/jmitola/Mitola_Dissertation8_Integrated.pdf

  4. FCC (2003) FCC 03-322 [Online]. http://hraunfoss.fcc.gov/edocspublic/attachmatch/FCC-03-322A1.pdf

  5. ITU-R Report SM.2152 (2009) Definitions of software defined radio (SDR) and cognitive radio system (CRS)

    Google Scholar 

  6. Buddhikot M (2007) Understanding dynamic spectrum access: models, taxonomy and challenges. In: Proceedings of the IEEE DySPAN 2007, Dublin, 17–21 April 2007

    Google Scholar 

  7. DIMSUMnet: dynamic intelligent management of spectrum for ubiquitous mobile networks. (http://www.bell-labs.com/user/mbuddhikot/dimsumnet/index.htm)

  8. Porcino D, Hirt W (2003) Ultra-wideband radio technology: potential and challenges ahead. Commun Mag IEEE 41(7):66–74

    Article  Google Scholar 

  9. Weiss M, Al-Tamaimi M, Cui L (2010) Dynamic geospatial spectrum modelling: taxonomy, options and consequences. In: Proceedings of the telecommunications policy research conference, 2010

    Google Scholar 

  10. Zhao Q, Sadler B (2007) A survey of dynamic spectrum access. IEEE Sig Process Mag 24(3):79–89

    Article  Google Scholar 

  11. Weiss M, Lehr W (2009) Market based approaches for dynamic spectrum assignment, University of Pittsburgh, Pittsburgh, Working paper. http://dscholarship.pitt.edu/2824/

  12. Sahai A, Hoven N (2004) Some fundamental limits on cognitive radio. In: Proceedings of the Allerton conference on communication, 2004

    Google Scholar 

  13. Devroye N, Mitran P (2006) Achievable rates in cognitive radio channels. In: IEEE Transactions on information theory, 2006

    Google Scholar 

  14. Wild B, Ramchandran K (2005) Detecting primary receivers for cognitive radio applications. In: Proceedings of the IEEE DySPAN 2005, Nov 2005, pp 124–130

    Google Scholar 

  15. Hillenbrand J, Jondral FK (2003) A diversity approach for the detection of idle spectral resources in spectrum pooling systems. In: Proceedings of the 48th international science colloquium, Ilmenau, 2003

    Google Scholar 

  16. Ghasemi A, Sousa ES (2005) Collaborative spectrum sensing for opportunistic access in fading environments. In: First IEEE international symposium on new frontiers in dynamic spectrum access networks, 2005 (DySPAN 2005), 8–11 Nov 2005, pp 131–136

    Google Scholar 

  17. Ganesan G, Li Y (2005) Cooperative spectrum sensing in cognitive radio networks. In: First IEEE international symposium on new frontiers in dynamic spectrum access networks, 2005 (DySPAN 2005), 8–11 Nov 2005, pp 137–143

    Google Scholar 

  18. Federal Communications Commission Spectrum Policy Task Force (2002) Report of the interference protection working group. (http://transition.fcc.gov/sptf/files/IPWGFinalReport.pdf)

  19. Candes E, Romberg J, Tao T (2006) Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information. IEEE Trans Inf Theory 52(2):489–509

    Article  MathSciNet  MATH  Google Scholar 

  20. Donoho D (2006) Compressed sensing. IEEE Trans Inf Theory 52(4):1289–1306

    Article  MathSciNet  Google Scholar 

  21. Tian Z, Giannakis G (2007) Compressed sensing for wideband cognitive radios. In: IEEE international conference on acoustics, speech and signal processing, vol 4, April 2007, pp 1357–1360

    Google Scholar 

  22. Yucek T, Arslan H (2009) A survey of spectrum sensing algorithms for cognitive radio applications. Commun Surv Tutor IEEE 11(1):116–130

    Article  Google Scholar 

  23. Akyildiz IF, Lee W-Y, Vuran MC, Mohanty S (2006) NeXt generation/dynamic spectrum access/cognitive radio wireless networks: a survey. Comput Netw J Elsevier 50:2127–2159

    Article  MATH  Google Scholar 

  24. http://transition.fcc.gov/pshs/techtopics/techtopic8.html

  25. https://ict-e3.eu/

  26. http://www.ict-faramir.eu/

  27. http://www.ict-cogeu.eu/imprint.html

  28. http://hraunfoss.fcc.gov/edocs_public/attachmatch/DOC-228542A1.doc

  29. http://www.sharedspectrum.com/wp-content/uploads/4_NSF_NYC_Report.pdf

  30. FCC white space Phase II test report (2008) http://hraunfoss.fcc.gov/edocs_public/attachmatch/DA-08-2243A3.pdf

  31. Second report and order and memorandum opinion and order, FCC-08-26, 4 Nov 2008. http://hraunfoss.fcc.gov/edocs_public/attachmatch/FCC-08-260A1.doc

  32. http://transition.fcc.gov/Daily_Releases/Daily_Business/2010/db0923/FCC-10-174A1.pdf

  33. http://www.fcc.gov/Daily_Releases/Daily_Business/2011/db0126/DA-11-131A1.pdf

  34. ECC REPORT 159, Electronic Communications Committee (ECC) within the European Conference of Postal and Telecommunications Administrations (CEPT). http://www.erodocdb.dk/docs/doc98/official/Pdf/ECCRep159.pdf

  35. ITU-R WP5A, Preliminary Draft New Report ITU-R [LMS.CRS] Cognitive radio systems in the land mobile service

    Google Scholar 

  36. IEEE Standard Definitions and Concepts for Dynamic Spectrum Access: Terminology Relating to Emerging Wireless Networks, System Functionality, and Spectrum Management, Std., Sept 2008

    Google Scholar 

  37. IEEE Recommended Practice for the Analysis of In-Band and Adjacent Band Interference and Coexistence Between Radio Systems, Std., July 2008

    Google Scholar 

  38. IEEE Standard for Architectural Building Blocks Enabling Network-Device Distributed Decision Making for Optimized Radio Resource Usage in Heterogeneous Wireless Access Networks, Std., Feb 2009

    Google Scholar 

  39. Granelli F, Pawelczak P, Prasad R, Subbalakshmi K, Chandramouli R, Hoffmeyer J, Berger H (2010) Standardization and research in cognitive and dynamic spectrum access networks: IEEE SCC41 efforts and other activities. IEEE Commun Mag 48(1):71–79

    Article  Google Scholar 

  40. http://www.ecma-international.org/publications/files/ECMA-ST/ECMA-392.pdf

  41. http://cornet.wireless.vt.edu/trac/wiki/CORNET

  42. http://bwrc.eecs.berkeley.edu/Research/Cognitive/prototyping_platform.htm

  43. http://bee2.eecs.berkeley.edu/

  44. Miljanic Z, Seskar I, Le K, Raychaudhuri D (2007) The WINLAB network centric cognitive radio hardware platform—WiNC2R. In: Proceedings of 2nd international conference on cognitive radio oriented wireless networks and communications, CrownCom 2007, 1–3 Aug 2007, pp 155–160

    Google Scholar 

  45. Sutton PD, Lotze J, Lahlou H, Fahmy SA, Nolan KE, Ozgul B, Rondeau TW, Noguera J, Doyle LE (2010) Iris: an architecture for cognitive radio networking testbeds. Commun Mag IEEE 48(9):114–122

    Article  Google Scholar 

  46. http://research.microsoft.com/en-us/projects/KNOWS/default.aspx

  47. http://www.tekes.fi/programmes/trial

  48. Phillips C, Sicker D, Grunwald D (2011) Bounding the error of path loss models. In: IEEE symposium on new frontiers in dynamic spectrum access networks, 2011 (DySPAN), 3–6 May 2011, pp 71–82

    Google Scholar 

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Authors and Affiliations

  1. Orange Labs, Issy-les-Moulineaux, France

    Berna Sayrac

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  1. Berna Sayrac
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Correspondence to Berna Sayrac .

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Editors and Affiliations

  1. , Research Institute for Networks & Comms, Dublin City University, Glasnevin, Dublin, Ireland

    Hrishikesh Venkataraman

  2. School of Electronic Engineering, Dublin City University, Research & Engineering Building, Glasnevin, Dublin, Ireland

    Gabriel-Miro Muntean

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Sayrac, B. (2012). Introduction to Cognitive Radio . In: Venkataraman, H., Muntean, GM. (eds) Cognitive Radio and its Application for Next Generation Cellular and Wireless Networks. Lecture Notes in Electrical Engineering, vol 116. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-1827-2_1

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  • DOI: https://doi.org/10.1007/978-94-007-1827-2_1

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