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Cooperative Spectrum Sensing for Cognitive Radio Networks Application: Performance Analysis for Realistic Channel Conditions

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Advances in Computational Science, Engineering and Information Technology

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 225))

Abstract

Cognitive radio is a key technology to overcome spectrum scarcity by using spectrum opportunistically. It can be applied to maritime wireless networks to provide more bandwidth and reduce communication cost. Spectrum sensing is a primary issue to develop cognitive radio networks. There are few challenges for spectrum sensing in maritime networks which are different from terrestrial networks, for example, sea’s surface channel properties. High probability of detection is required to achieve better network performance. In this paper, centralized cooperative spectrum sensing schemes are compared for maritime cognitive radio networks. The simulation results show that exiting schemes are well suitable for lower sea states but fail for higher sea states and we need to devise some advanced algorithms for spectrum sensing in the maritime wireless networks.

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References

  1. Pathmasuntharam, J.S., Jurianto, J., Kong, P.Y., Ge, Y., Zhou, M., Miura, R.: High Speed Maritime ship-to-ship/ shore Mesh Networks. In: Proc. IEEE Int. Conf. on ITS Telecommunications, Sophia Antipolis, France, pp. 1–6 (2007)

    Google Scholar 

  2. Zhou, M.-T., Harada, H.: Cognitive maritime wireless mesh/ ad hoc networks. J. of Netw. and Comput. Appl. 35(2), 518–526 (2012)

    Article  Google Scholar 

  3. Bekkadal, F.: Emerging maritime communications technologies. In: Proc. IEEE Int. conf. on ITS Telecommunications, Lille, France, pp. 358–363 (2009)

    Google Scholar 

  4. First in the World: Wireless Mobile Wimax Access In Singapore Seaport Now a Reality (March 6, 2008), http://www.mpa.gov.sg/sites/global_navigation/news_center/mpa_news/mpa_news_detail.page?filename=nr080306.xml

  5. Pathmasuntharam, J.S., Kong, P.-Y., Zhou, M.-T., Ge, Y., Wang, H., Ang, C.-W., Su, W., Harada, H.: TRITON: high speed maritime mesh networks. In: Proc. IEEE Int. Symp. Pers., Indoor and Mobile Radio Commun., Cannes, France, pp. 1–5 (2008)

    Google Scholar 

  6. Yucek, T., Arslan, H.: A survey of spectrum sensing algorithms for cognitive radio applications. Commun. Surveys Tuts. 11(1), 116–130 (2009)

    Article  Google Scholar 

  7. Akildiz, I.F., Lo, B.L., Balakrishan, R.: Cooperative spectrum sensing in cognitive radio networks: a survey. Physical Commun. 4(1), 40–62 (2011)

    Article  Google Scholar 

  8. Pierson Jr., W.J., Moskowitz, L.: A proposed spectral form for fully developed seas based on the similarity theory of S. A. Kitaigorodskii. J. Geosci. Res. 69(24), 5181–5190 (1964)

    Article  Google Scholar 

  9. Elliott, W.: Results of a VHF propagation study. IEEE Trans. Antennas Propag. 29(5), 808–811 (1981)

    Article  Google Scholar 

  10. Timmins, I.J., O’Young, S.: Maritime Communication Channel Modeling using the Finite-Difference time domain method. IEEE Trans. Veh. Technol. 58(6), 2626–2637 (2009)

    Article  Google Scholar 

  11. Urkowitz, H.: Energy detection of unknown deterministic signals. Proc. IEEE 55(4), 523–531 (1967)

    Article  Google Scholar 

  12. IEEE Computer Society, IEEE Std 802.22TM-2011 Part 22: Cognitive Wireless RAN Medium Access Control (MAC) and Physical Layer (PHY) Specifications: Policies and Procedures for Operation in the TV Bands, IEEE Standard for Information technology, 1-672 (2011)

    Google Scholar 

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Correspondence to Waleed Ejaz .

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© 2013 Springer International Publishing Switzerland

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Ejaz, W., Hasan, N.u., Azam, M.A., Kim, H.S. (2013). Cooperative Spectrum Sensing for Cognitive Radio Networks Application: Performance Analysis for Realistic Channel Conditions. In: Nagamalai, D., Kumar, A., Annamalai, A. (eds) Advances in Computational Science, Engineering and Information Technology. Advances in Intelligent Systems and Computing, vol 225. Springer, Heidelberg. https://doi.org/10.1007/978-3-319-00951-3_20

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  • DOI: https://doi.org/10.1007/978-3-319-00951-3_20

  • Publisher Name: Springer, Heidelberg

  • Print ISBN: 978-3-319-00950-6

  • Online ISBN: 978-3-319-00951-3

  • eBook Packages: EngineeringEngineering (R0)

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