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Introduction to Cognitive Radio Networks

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Abstract

This Chapter introduces the cognitive radio network as one of the most promising technologies for the immediate and very near future. It explores its rich history and establishes that the radio-frequency spectrum is the most important base in the overall cognitive radio network scheme. The recently-proposed concept of dynamic spectrum access and allocation is portrayed as the preferred mechanism for sharing and administering the spectrum, especially for most newly-emerging technologies, and particularly for the cognitive radio network. Importantly, the Chapter sets the stage for ongoing discussions on the recent developments in the design and implementation of modern cognitive radio networks.

Keywords

Modern wireless communications Cognitive radio networks Spectrum scarcity Static and dynamic spectrum access 

References

  1. 1.
    A. Goldsmith, Wireless Communications. Cambridge University Press, New York (2005)CrossRefGoogle Scholar
  2. 2.
    Statista, Number of mobile phone users worldwide from 2013 to 2019 (2016). http://www.statista.com/statistics/274774/forecast-of-mobile-phone-users-worldwide/
  3. 3.
    P. Lange, 2012 Africa—mobile broadband, data and mobile media market (2012). http://www.budde.com.au/Research/2012-Africa-Mobile-Broadband-Data-and-Mobile-Media-Market.html
  4. 4.
    F.C. Commission, Report of spectrum efficiency working group. Spectrum Policy Task Force, Washington (2002)Google Scholar
  5. 5.
    F.C. Commission, Cognitive radio technologies proceeding, rep. ET Docket, no. 03-108, 2003Google Scholar
  6. 6.
    Ofcom, Securing long term benefits from scarce spectrum resources—a strategy for UHF bands IV and V (2012). http://wwwofcom.org.uk/consultations-and-statements/category-1/uhf-strategy.
  7. 7.
    Ofcom, Techniques for increasing the capacity of wireless broadband networks—Ofcom (2012). http://wwwofcom.org.uk/static/uhf/real-wireless-report.pdf.
  8. 8.
    ICASA, Draft terrestrial broadcasting frequency plan 2013. Government Gazette, Republic of South Africa 574 (36321), 2013Google Scholar
  9. 9.
    C. Tran, R. Lu, A. Ramirez, C. Phillips, S. Thai, Dynamic spectrum access: architectures and implications, in Proceedings of the IEEE MILCOM (2008), pp. 1–7Google Scholar
  10. 10.
    J. Pastircak, J. Gazda, D. Kocur, A survey on the spectrum trading in dynamic spectrum access networks, in Proceedings of the 56th International Symposium on ELMAR (2014), pp. 1–4Google Scholar
  11. 11.
    J. Mitola, J. Maguire, G.Q., Cognitive radio: making software radios more personal. IEEE Pers. Commun. 6(4), 13–18 (1999)Google Scholar
  12. 12.
    J. Mitola, Cognitive radio: An integrated agent architecture for software defined radios, Ph.D. dissertation, KTH, Sweden, 2000Google Scholar
  13. 13.
    A.M. Wyglinski, M. Nekovee, T. Hou, Cognitive Radio Communications and Networks: Principles and Practice Academic Press, London (2009)Google Scholar
  14. 14.
    S. Haykin, Cognitive radio: brain-empowered wireless communications. IEEE J. Sel. Areas Commun. 23(2), 201–220 (2005)CrossRefGoogle Scholar
  15. 15.
    L.E. Doyle, Essentials of Cognitive Radio, ser. The Cambridge Wireless Essentials Series. Cambridge University Press, New York (2009)CrossRefGoogle Scholar
  16. 16.
    I.F. Akyildiz, W.-Y. Lee, M.C. Vuran, S. Mohanty, NeXt generation/dynamic spectrum access/cognitive radio wireless networks: a survey. Int. J. Comput. Telecommun. Netw. 50(13), 2127–2159 (2006). http://www.sciencedirect.com/science/article/pii/S1389128606001009 CrossRefGoogle Scholar
  17. 17.
    B.S. Awoyemi, B.T.J. Maharaj, A.S. Alfa, Solving resource allocation problems in cognitive radio networks: a survey. EURASIP J. Wirel. Commun. Netw. 2016(1), 176 (2016). https://doi.org/10.1186/s13638-016-0673-6
  18. 18.
    B. Awoyemi, B. Maharaj, A. Alfa, Optimal resource allocation solutions for heterogeneous cognitive radio networks. Digital Commun. Netw. 3(2), 129–139 (2017). http://www.sciencedirect.com/science/article/pii/S2352864816301043 CrossRefGoogle Scholar
  19. 19.
    B.S. Awoyemi, B.T. Maharaj, Mitigating interference in the resource optimisation for heterogeneous cognitive radio networks, in Proceedings of the IEEE Second Wireless Africa Conference (WAC) (2019), pp. 1–6Google Scholar
  20. 20.
    B.S. Awoyemi, B.T. Maharaj, A.S. Alfa, Resource allocation in heterogeneous cooperative cognitive radio networks. Int. J. Commun. Syst. 30(11), e3247 (2017). https://onlinelibrary.wiley.com/doi/abs/10.1002/dac.3247
  21. 21.
    S.D. Okegbile, B.T. Maharaj, A.S. Alfa, Interference characterization in underlay cognitive networks with intra-network and inter-network dependence. IEEE Trans. Mobile Comput (2020).  https://doi.org/10.1109/TMC.2020.2993408

Copyright information

© The Author(s), under exclusive license to Springer Nature Switzerland AG 2022

Authors and Affiliations

  1. 1.University of PretoriaPretoriaSouth Africa

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