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Comparative Study of Transmitter-Side Spectrum Detection in Cognitive Radio Network

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International Conference on Computer Networks and Communication Technologies

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 15))

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Abstract

Cognitive radio network is an intelligent radio network that adapts its transmission parameters based on the sensed free spectrum. Sensing the vacant spectrum is a major issue in cognitive radio networks. The spectrum availability is dynamic. Before data transmission, secondary users sense the spectrum to check the occupancy of primary user. In this paper, the comparison of transmitter-side spectrum detection is carried out. The variation of probability of detection is analyzed with respect to probability of false alarm and SNR. Simulation results show that a signal transmitted with high SNR can be detected accurately by having fixed probability of false alarm. In this work, when the SNR is increased from −20 to −10 dB, the probability of detection is increased on an average of 38 and 57% in matched detection technique and energy detection technique, respectively. This paper also gives a comparative study of energy detection techniques, cyclostationary feature techniques, and matched-filter detection techniques.

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References

  1. Mitola, J., Maguire, G.Q.: Cognitive radio: making software radios more personal. IEEE Pers. Commun. 6(4), 13–18 (1999)

    Article  Google Scholar 

  2. Abdulsattar, M.A., Hussein, Z.A.: Energy detection technique for spectrum sensing in cognitive radio: a survey. Int. J. Comput. Netw. Commun. 4(5), 223–242 (2012)

    Google Scholar 

  3. Cabric, D., Mishra, S.M., Brodersen, R.W.: Implementation issues in spectrum sensing for cognitive radios. In: IEEE Conference Record of the Thirty-Eighth Asilomar Conference on Signals, Systems and Computers, vol. 1, pp. 772–776 (2004)

    Google Scholar 

  4. Yawada, P.S., An, J.W.: Performance evaluation of matched filter detection based on non-cooperative spectrum sensing in cognitive radio network. Int. J. Comput. Netw. Commun. Secur. 3(12), 442–446 (2015)

    Google Scholar 

  5. Aparna, P.S., Jayasheela, M.: Cyclostationary feature detection in cognitive radio using different modulation schemes. Int. J. Comput. Appl. 47(21) (2012)

    Google Scholar 

  6. Liang, Y.C., Zeng, Y., Peh, E.C., Hoang, A.T.: Sensing-throughput tradeoff for cognitive radio networks. IEEE Trans. Wirel. Commun. 7(4), 1326–1337 (2008)

    Article  Google Scholar 

  7. Atapattu, S., Tellambura, C., Jiang, H.: Energy detection based cooperative spectrum sensing in cognitive radio networks. IEEE Trans. Wirel. Commun. 10(4), 1232–1241 (2011)

    Article  Google Scholar 

  8. Pandya, P., Durvesh, A., Parekh, N.: Energy detection based spectrum sensing for cognitive radio network. In: Fifth IEEE International Conference on Communication Systems and Network Technologies (CSNT), pp. 201–206 (2015)

    Google Scholar 

  9. Lin, Y., He, C.: Subsection-average cyclostationary feature detection in cognitive radio. In: IEEE International Conference on Neural Networks and Signal Processing, pp. 604–608 (2008)

    Google Scholar 

  10. Zeng, Y., Liang, Y.C.: Maximum-minimum eigenvalue detection for cognitive radio. In: IEEE 18th International Symposium on Personal, Indoor and Mobile Radio Communications, pp. 1–5 (2007)

    Google Scholar 

  11. Herath, S.P., Rajatheva, N.: Analysis of equal gain combining in energy detection for cognitive radio over Nakagami channels. In: IEEE GLOBECOM 2008 Global Telecommunications Conference, pp. 1–5 (2008)

    Google Scholar 

  12. Zeng, Y., Liang, Y.C., Zhang, R.: Blindly combined energy detection for spectrum sensing in cognitive radio. IEEE Sign. Process. Lett. 15, 649–652 (2008)

    Article  Google Scholar 

  13. Salahdine, F., El Ghazi, H., Kaabouch, N., Fihri, W.F.: Matched filter detection with dynamic threshold for cognitive radio networks. In: International Conference on Wireless Networks and Mobile Communications (WINCOM), pp. 1–6 (2015)

    Google Scholar 

  14. Odhavjibhai, B.A., Rana, S.: Analysis of matched filter based spectrum sensing in cognitive radio. Int. Res. J. Eng. Technol. 4(4), 578–581 (2017)

    Google Scholar 

  15. Aparna, P.S., Jayasheela, M.: Cyclostationary feature detection in cognitive radio for ultra-wideband communication using cooperative spectrum sensing. Int. J. Future Comput. Commun. 2(6), 668–672 (2013)

    Google Scholar 

  16. Verma, M.P.K., Dua, R.L.: A survey on cyclostationary feature spectrum sensing technique. Int. J. Adv. Res. Comput. Eng. Technol. (IJARCET) 1(7), 300–303 (2012)

    Google Scholar 

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Authors and Affiliations

  1. Department of Electrical Sciences, Karunya Institute of Technology and Sciences, Coimbatore, India

    G. Shine Let, Songa Christeen, P. Lidiya Priya, B. Keerthi Reddy & P. Swetha

Authors
  1. G. Shine Let
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  2. Songa Christeen
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  3. P. Lidiya Priya
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  4. B. Keerthi Reddy
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  5. P. Swetha
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Corresponding author

Correspondence to G. Shine Let .

Editor information

Editors and Affiliations

  1. Department of CSE, RVS Technical Campus, Coimbatore, Tamil Nadu, India

    S. Smys

  2. Department of Telecommunication Engineering, Czech Technical University in Prague, Czechia, Czech Republic

    Robert Bestak

  3. Department of Electrical Engineering, Dayeh University, Taiwan, Taiwan

    Joy Iong-Zong Chen

  4. Faculty of Informatics and Information Technology, Slovak University of Technology in Bratislava, Bratislava, Slovakia

    Ivan Kotuliak

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© 2019 Springer Nature Singapore Pte Ltd.

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Shine Let, G., Christeen, S., Lidiya Priya, P., Keerthi Reddy, B., Swetha, P. (2019). Comparative Study of Transmitter-Side Spectrum Detection in Cognitive Radio Network. In: Smys, S., Bestak, R., Chen, JZ., Kotuliak, I. (eds) International Conference on Computer Networks and Communication Technologies. Lecture Notes on Data Engineering and Communications Technologies, vol 15. Springer, Singapore. https://doi.org/10.1007/978-981-10-8681-6_81

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  • DOI: https://doi.org/10.1007/978-981-10-8681-6_81

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-8680-9

  • Online ISBN: 978-981-10-8681-6

  • eBook Packages: EngineeringEngineering (R0)

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