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Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 322))

Abstract

Different from the statistical or bound method to build the interference model of cognitive wireless networks, in this paper, we propose an exact mathematical interference model based on the primary channel and the secondary interference channel under Rayleigh and Nakagami fading respectively. Under the rigorous mathematical derivation, the proposed model can cover many parameters such as spatial distribution, the spectrum sensing schemes, the transmission and channel propagation characteristics of nodes, etc. In addition, the analysis result can be extent to a number of applications including spatial density settlement of ST nodes, ST power control, spectrum sensing schemes analysis, irregular geographical shape evaluation of cognitive radio etc. The simulation results have verified our analytical model.

Foundation items: the National Natural Science Foundation of China (Nos. 61071152 and 61271316), the National Basic Research Program (973) of China (Nos. 2010CB731406 and 2013CB329605) and the National “Twelfth Five-Year” Plan for Science & Technology Support (No. 2012BAH38B04)

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References

  1. Ghasemi A, Sousa ES (2008) Interference aggregation in spectrum-sensing cognitive wireless networks. IEEE J Select Topics Sign Process 2(1):41–56

    Article  Google Scholar 

  2. Rabbachin A, Quek TQS, Shin H, Win MZ (2011) Cognitive network interference. IEEE J Select Areas Commun 29(2):480–493

    Article  Google Scholar 

  3. Win MZ, Pinto PC, Shepp LA (2009) A mathematical theory of network interference and its applications. Proc IEEE 97(2):205–230

    Article  Google Scholar 

  4. Salbaroli E, Zanella A (2009) Interference analysis in a Poisson interference analysis in a Poisson interference analysis in a Poisson field of nodes of finite area. IEEE Trans Veh Technol 58(4):1176–1783

    Article  Google Scholar 

  5. Kusaladharma S, Tellambura C (2012) Aggregate interference analysis for underlay cognitive radio networks. IEEE Wireless Commun Lett 1(6):641–644

    Article  Google Scholar 

  6. Li J, Li SH, Zhao F, Du R (2014) Co-channel interference modeling in cognitive wireless networks. IEEE Trans Commun 62(9):3114–3128

    Article  Google Scholar 

  7. Li J, Li SH (2014) Interference of cognitive wireless networks on rayleigh and rice fading channels. Int J Distribut Sensor Netw 2014, Article ID 236891. doi: 10.1155/2014/236891

    Google Scholar 

  8. Pinto PC, Win MZ (2010) Communication in a Poisson field of interferers–part i: interference distribution and error probability. IEEE Trans Wireless Commun 9(7):2176–2186

    Article  Google Scholar 

  9. Moghimi F, Nasri A, Schober R (2011) Adaptive \( Lp \)–norm spectrum sensing for cognitive radio networks. IEEE Trans Commun 59(7):1934–1945

    Article  Google Scholar 

  10. Stüber GL (2002) Principles of mobile communication, 2nd edn. Kluwer, New York, pp 39–152

    Google Scholar 

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Correspondence to Jian Li .

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© 2015 Springer International Publishing Switzerland

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Li, J., Li, S., Lin, X., Hang, Q. (2015). Cognitive Radio Interference Modeling and Application on Fading Channels. In: Mu, J., Liang, Q., Wang, W., Zhang, B., Pi, Y. (eds) The Proceedings of the Third International Conference on Communications, Signal Processing, and Systems. Lecture Notes in Electrical Engineering, vol 322. Springer, Cham. https://doi.org/10.1007/978-3-319-08991-1_1

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  • DOI: https://doi.org/10.1007/978-3-319-08991-1_1

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-08990-4

  • Online ISBN: 978-3-319-08991-1

  • eBook Packages: EngineeringEngineering (R0)

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