Introduction

Chapter
Part of the Signals and Communication Technology book series (SCT)

Abstract

Due to massive demand of spectrum for new wireless services and applications, there is a shortage of available wireless spectrum which has motivated researchers for better spectrum management policies. The concept of the cognitive radio network (CRN) provides an innovative solution for spectrum management through exploiting the available spectrum without interrupting the licensed user activities. However, CRN imposes some challenges caused by the unpredictable nature of the spectrum availability, and different QoS requirements for different applications. Spectrum management functions can handle these issues for the realization of CRN. In this chapter, the author first provides a general idea of cognitive radio and the network architecture and then revisited spectrum management functionalities: spectrum sensing, spectrum allocation and sharing, and spectrum handoff. The potential applications of CR networks are also provided in this chapter. It is believed that this chapter will help the beginners in facilitating the introductory idea in the area of the cognitive radio network.

Keywords

Cognitive Radio Primary User Secondary User Cognitive Radio Network Spectrum Sharing 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

References

  1. 1.
    Coase, R.: The federal communications commission. J. Law Econ., 1–40 (1959)Google Scholar
  2. 2.
    Hatfield, D., Weiser, P.: Property rights in spectrum: taking the next step. In: Proceedings of the first IEEE Symposium on New Frontiers in Dynamic Spectrum Access Networks (2005)Google Scholar
  3. 3.
    Xu, L., Tonjes, R., Paila, T., Hansmann, W., Frank, M., Albrecht, M.: DRiVE-ing to the internet: dynamic radio for IP services in vehicular environments. In: Proceedings of 25th Annual IEEE Conference on Local Computer Networks, pp. 281–289 (2000)Google Scholar
  4. 4.
    Benkler, Y.: Overcoming agoraphobia: building the commons of the digitally networked environment. Harvard J. Law Technol (1997–1998, Winter)Google Scholar
  5. 5.
    Lehr, W., Crowcroft, J.: Managing shared access to a spectrum commons. In: Proceedings of the first IEEE Symposium on New Frontiers in Dynamic Spectrum Access Networks (2005)Google Scholar
  6. 6.
    Raman, C., Yates, R., Mandayam, N.: Scheduling variable rate links via a spectrum server. In: Proceedings of the first IEEE Symposium on New Frontiers in Dynamic Spectrum Access Networks, pp. 110–118 (2005)Google Scholar
  7. 7.
    Ileri, O., Samardzija, D., Mandayam, N.: Demand responsive pricing and competitive spectrum allocation via a spectrum server. In: Proceedings of the first IEEE Symposium on New Frontiers in Dynamic Spectrum Access Networks (2005)Google Scholar
  8. 8.
    Chung, S., Kim, S., Lee, J., Cioffi, J.: A game-theoretic approach to power allocation in frequency-selective Gaussian interference channels. In: Proceedings of the IEEE International Symposium on Information Theory, pp. 316–316 (2003) (Submitted to IEEE Signal Processing Magazine, 29 Sept 2006)Google Scholar
  9. 9.
    Etkin, R., Parekh, A., Tse, D.: Spectrum sharing for unlicensed bands. In: Proceedings of the First IEEE Symposium on New Frontiers in Dynamic Spectrum Access Networks (2005)Google Scholar
  10. 10.
    Huang, J., Berry, R., Honig, M.: Spectrum sharing with distributed interference compensation. In: Proceedings of the first IEEE Symposium on New Frontiers in Dynamic Spectrum Access Networks (2005)Google Scholar
  11. 11.
    Mitola, J.: Cognitive radio for flexible mobile multimedia communications. In: Proceedings of the IEEE International Workshop on Mobile Multimedia Communications, pp. 3–10 (1999)Google Scholar
  12. 12.
    DARPA: The Next Generation (XG) Program. http://www.darpa.mil/ato/programs/xg/index.htm
  13. 13.
    Federal Communications Commission, Spectrum Policy Task Force report. ET Docket (02–135), 215 (2002)Google Scholar
  14. 14.
    Haykin, S.: Cognitive radio: brain-empowered wireless communications. IEEE J. Sel. Areas Commun. 23(2), 201–220 (2005)CrossRefGoogle Scholar
  15. 15.
    Akyildiz, I.F., Lee, W.-Y., Vuran, M.C., Mohanty, S.: Next generation/dynamic spectrum access/cognitive radio wireless networks: a survey. Comput. Netw. 50(13), 2127–2159 (2006)CrossRefMATHGoogle Scholar
  16. 16.
    Wang, B., Liu, K.R.: Advances in cognitive radio networks: a survey. IEEE J. Sel. Topics Signal Process. 5(1), 5–23 (2011)CrossRefGoogle Scholar
  17. 17.
    Akyildiz, I.F., et al.: A survey on spectrum management in cognitive radio networks. IEEE Commun. Mag. 46(4), 40–48 (2008)CrossRefGoogle Scholar
  18. 18.
    Hossain, E., Niyato, D., Han, Z.: Dynamic Spectrum Access and Management in Cognitive Radio Networks. Cambridge University Press, Cambridge (2009)Google Scholar
  19. 19.
    Ileri, O., Samardzija, D., Mandayam, N.B.: Demand responsive pricing and competitive spectrum allocation via spectrum server. Proc. IEEE DySPAN 2005, 194–202 (2005)Google Scholar
  20. 20.
    Wang, S., et al.: Energy-efficient spectrum sensing and access for cognitive radio networks. IEEE Trans. Veh. Technol. 61(2), 906–912 (2012)CrossRefGoogle Scholar
  21. 21.
    Yucek, T., Arslan, H.: A survey of spectrum sensing algorithms for cognitive radio applications. IEEE Commun. Surv. Tutorials 11, 116–130 (2009)Google Scholar
  22. 22.
    Akyildiz, I., Lee, W., Vuran, M., Mohanty, S.: Next generation/dynamic spectrum access/cognitive radio wireless networks: a survey. Comput. Netw. 50(13), 2127–2159 (2006)CrossRefMATHGoogle Scholar
  23. 23.
    Mishra, S., Sahai, A., Brodersen, R.: ‘Cooperative sensing among cognitive radios’. Proc. IEEE ICC 4, 1658–1663 (2006)Google Scholar
  24. 24.
    Sun, C., Zhang, W., Letaief, K.: Cooperative spectrum sensing for cognitive radios under bandwidth constraints. In: Proceedings of the IEEE WCNC, pp. 1–5 (2007)Google Scholar
  25. 25.
    Sun, C., Zhang, W., Ben, K.: ‘Cluster-based cooperative spectrum sensing in cognitive radio systems. In: Proceedings of the IEEE ICC, pp. 2511–2515 (2007)Google Scholar
  26. 26.
    Yucek, T., Arslan, H.: MMSE noise plus interference power estimation in adaptive OFDM systems. IEEE Trans. Veh. Technol. (2007)Google Scholar
  27. 27.
    Visotsky, E., Kuffner, S., Peterson, R.: On collaborative detection of TV transmissions in support of dynamic spectrum sharing. In: Proceedings of the IEEE International Symposium on New Frontiers in Dynamic Spectrum Access Networks, Baltimore, Maryland, USA, Nov, pp. 338–345 (2005)Google Scholar
  28. 28.
    Chen, R., Park, J.-M.: Ensuring trustworthy spectrum sensing in cognitive radio networks. In: Proceedings of the IEEE Workshop on Networking Technologies for Software Defined Radio Networks (held in conjunction with IEEE SECON 2006) (2006)Google Scholar
  29. 29.
    Burbank, J.: Security in cognitive radio networks: the required evolution in approaches to wireless network security. In: Proceedings of the International Conference on Cognitive Radio Oriented Wireless Networks and Communications, pp. 1–7 (2008)Google Scholar
  30. 30.
    Soto, J., Queiroz, S., Nogueira, M.: Taxonomy, flexibility, and open issues on pue attack defenses in cognitive radio networks. IEEE Wirel. Commun. 20, 59–65 (2013)CrossRefGoogle Scholar
  31. 31.
    Stevenson, C., Chouinard, G., Lei, Z., Hu, W., Shellhammer, S., Caldwell, W.: IEEE 802.22: the first cognitive radio wireless regional area network standard. IEEE Commun. Mag. 47, 130–138 (2009)CrossRefGoogle Scholar
  32. 32.
    Zhang, Y., Xu, G., Geng, X.: Security threats in cognitive radio networks. In: Proceedings of the IEEE International Conference on High Performance Computing and Communications, pp. 1036–1041 (2008)Google Scholar
  33. 33.
    Soto, J., Nogueira, M.: A framework for resilient and secure spectrum sensing on cognitive radio networks. Comput. Netw. 79, 313–322 (2015)CrossRefGoogle Scholar
  34. 34.
    Zhao, Q., et al.: Decentralized cognitive MAC for opportunistic spectrum access in Ad Hoc networks: a POMDP framework. IEEE JSAC 25(3), 589–599 (2007)Google Scholar
  35. 35.
    Akyildiz, I.F., Lee, W.-Y., Mohanty, S.: Next generation/dynamic spectrum access/ cognitive radio wireless networks: a survey. Comput. Netw. 50, 2127–2159 (2006)CrossRefMATHGoogle Scholar
  36. 36.
    Zhao, Q., Sadler, B.: A survey of dynamic spectrum access. IEEE Signal Process. Mag. 24(3), 79–89 (2007)CrossRefGoogle Scholar
  37. 37.
    Akyildiz, I.F., Lee, W.-Y., Vuran, M.C., Mohanty, S.: A survey on spectrum management in cognitive radio networks. IEEE Commun. Mag. 46(4), 40–48 (2008)CrossRefGoogle Scholar
  38. 38.
    Lee, W.-Y., Akyildiz, I.F.: A spectrum decision framework for cognitive radio networks. IEEE Trans. Mobile Comput. 10(2), 161–174 (2011)CrossRefGoogle Scholar
  39. 39.
    Lu, L., Zhou, X, Onunkwo, U., Li, G.Y.: Ten years of research in spectrum sensing and sharing in cognitive radio. EURASIP J. Wirel. Commun. Netw., 1–16Google Scholar
  40. 40.
    Akyildiz, I.F., Lee, W.-Y., Mohanty, S.: Next generation/dynamic spectrum access/ cognitive radio wireless networks: a survey. Comput. Netw. 50, 2127–2159 (2006)CrossRefMATHGoogle Scholar
  41. 41.
    Zhu, X., Shen, L., Yum, T.: Analysis of cognitive radio spectrum access with optimal channel reservation. IEEE Commun. Lett. 11(4), 304–306 (2007)CrossRefGoogle Scholar
  42. 42.
    Song, Y, Xie, J.L.: Prospect: a proactive spectrum handoff framework for cognitive radio ad hoc networks without common control channel. IEEE Trans Mobile Comput. (to appear, 2011)Google Scholar
  43. 43.
    Wang, L., Wang, C., Chang, C.: Modeling and analysis for spectrum handoffs in cognitive radio networks. IEEE Trans Mobile Comput. (to appear, 2011)Google Scholar
  44. 44.
    Kushwaha, H., Xing, Y., Chandramouli, R., Heffes, H: Reliable multimedia transmission over cogntiive radio networks using fountain codes. Proc IEEE 96(1), 155–165 (2008)Google Scholar
  45. 45.
    Willkomm, D., Gross, J., Wolisz, A.: Reliable link maintenance in cognitive radio systems. In: Proceedings of the IEEE International Symposium on New Frontier in Dynamic Spectrum Access Networks (DySPAN) (2005)Google Scholar
  46. 46.
    Unlicensed Operations in the TV Broadcast Bands: Second Memorandum Opinion and Order, FCC 10-174 (2010)Google Scholar
  47. 47.
    Wang, J., Shosh, M., Challapali, K.: Emerging cognitive radio applications: a survey. IEEE Commun. Mag. 49(3), 74–81 (2011)CrossRefGoogle Scholar
  48. 48.
    Technical Specification Group Radio Access Network: Evolved Universal Terrestrial Radio Access; Medium Access Control Protocol Specification, (Release 8), 3GPP Standard TS 36.321, (2010)Google Scholar
  49. 49.
    System Description Document: IEEE Standard 802.16 m, (2009)Google Scholar
  50. 50.
    Phunchongharn, P., Hossain, E., Niyato, D., Camorlinga, S.: A cognitive radio system for e-health applications in a hospital environment. IEEE Wirel. Commun. 17, 20–28 (2010)CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media Singapore 2017

Authors and Affiliations

  1. 1.Electrical and Electronic EngineeringUniversiti Teknologi BruneiBandar Seri BegawanBrunei Darussalam

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