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Parameter Estimation for the Resulting Logical Channel Formed by Minimizing Channel Switching

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Abstract

We propose a method for calculating the parameters of the resulting discrete channel for secondary users in cognitive radio systems formed by the algorithm for minimizing channel switchings. The availability of channel slots is defined by a simple Markov chain. We obtain mathematical expressions for determining the transition probabilities of a graph reduced to two states for any number of primary channels.

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References

  1. Ghosh, G., Das, P., and Chatterjee, S., Cognitive Radio and Dynamic Spectrum Access—A Study, Int. J. Next–Generation Networks, 2014, vol. 6, no. 1, pp. 43–60.

    Article  Google Scholar 

  2. McHenry, M.A., NSF Spectrum Occupancy Measurements Project Summary, Shared Spectrum Company Report, Vienna, USA, 2005.

    Google Scholar 

  3. Huang, S., Liu, X., and Ding, Z., Opportunistic Spectrum Access in Cognitive Radio Networks, IEEE INFOCOM Conf., Phoenix, USA, 2008.

    Google Scholar 

  4. Huang, S., Liu, X., and Ding, Z., On Optimal Control for Opportunistic Spectrum Access of Cognitive Radio Networks, IEEE INFOCOM Conf. 2010, San Diego, CA, USA.

    Google Scholar 

  5. Ferrari, L., Zhao, Q., and Scaglione, A., Utility Maximizing Sequential Sensing Over a Finite Horizon, IEEE Trans. Signal Process., 2017, vol. 65, no. 13, pp. 3430–3445.

    Article  MathSciNet  MATH  Google Scholar 

  6. Li, B., Yang, P., Wang, J., Wu, Q., Tang, S., Li, X.–Y., and Liu, Y., Almost Optimal Dynamically–Ordered Channel Sensing and Accessing for Cognitive Networks, IEEE Trans. Mobile Computing, 2014, vol. 13, no. 10, pp. 2215–2228.

    Article  Google Scholar 

  7. Zhao, Q., Krishnamachari, B., and Liu, K., On Myopic Sensing for Multi–Channel Opportunistic Access: Structure, Optimality, and Performance, IEEE Wireless Commun., 2008, vol. 7, no. 12, pp. 5431–5440.

    Article  Google Scholar 

  8. Hueda, M.R. and Rodriguez, C.E., On the Relationship Between the Block Error and Channel–State Markov Models in Transmissions Over Slow–Fading Channels, IEEE Trans. Commun., 2004, vol. 52, no. 8, pp. 1269–1275.

    Article  Google Scholar 

  9. Zhang, S., Wang, H., and Zhang, X., Estimation of Channel State Transition Probabilities Based on Markov Chains in Cognitive Radio, J. Commun., 2014, vol. 9, no. 6, pp. 468–474.

    Article  Google Scholar 

  10. Thakur, P., Kumar, A., Pandit, S., Singh, G., and Satashia, S.N., Performance Analysis of Cognitive Radio Networks Using Channel–Prediction–Probabilities and Improved Frame Structure, Digital Commun. Networks, 2018, vol. 1, no. 8, pp. 1–9.

    Google Scholar 

  11. Melent’ev, O.G. and Shevnina, I.E., A Comparison of Algorithms for the Choice of Logical Channel with Priorities, Elektrosvyaz’, 2010, no. 2, pp. 50–52.

    Google Scholar 

  12. Zhao, Y. and Bail, L., Performance Analysis and Optimization for Cognitive Radio Networks with Classified Secondary, Mobile Inform. Syst., 2017, no. 3613496, pp. 1–8.

    Google Scholar 

  13. Melent’ev, O.G. and Kleiko, D.V., Computing the Parameters of the Discrete Channel Resulting under Frequency Hopping in the General Case, Autom. Remote Control, 2013, vol. 7, no. 7, pp. 1128–1131.

    Article  MathSciNet  MATH  Google Scholar 

  14. Csurgai–Horváth, L. and Bitó, J., Primary and Secondary User Activity Models for Cognitive Wireless Network, IEEE 11th Int. Conf. Telecomm., Graz, Austria, 2011.

    Google Scholar 

  15. Barnes, S.D. and Maharaj, B.T., Performance of a Hidden Markov Channel Occupancy Model for Cognitive Radio, IEEE Africon Conf., Livingstone, Zambia, 2011.

    Google Scholar 

  16. Melent’ev, O.G. and Kleiko, D.V., Parameter Estimation of Logical Channels for Secondary Users, Nauchn. Vestnik NGTU, 2012, no. 4, pp. 56–62.

    Google Scholar 

  17. Zhangy, J., Liy, Y., Liuy, Z., Wuz, F., Yangy, F., and Wang, X., On Multicast Capacity and Delay in Cognitive Radio Mobile Ad–hoc Networks, IEEE Trans. Wireless Commun., 2015, vol. 14, no. 10, pp. 5274–5286.

    Article  Google Scholar 

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Authors and Affiliations

  1. Siberian State University of Telecommunications and Information Sciences, Novosibirsk, Russia

    P. V. Krasheninnikov & O. G. Melent’ev

  2. Luleå University of Technology, Luleå, Sweden

    D. V. Kleyko

  3. Ericsson Research, Luleå, Sweden

    A. G. Shapin

Authors
  1. P. V. Krasheninnikov
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  2. O. G. Melent’ev
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  3. D. V. Kleyko
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  4. A. G. Shapin
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Corresponding authors

Correspondence to P. V. Krasheninnikov, O. G. Melent’ev, D. V. Kleyko or A. G. Shapin.

Additional information

Russian Text © P.V. Krasheninnikov, O.G. Melent’ev, D.V. Kleyko, A.G. Shapin, 2019, published in Avtomatika i Telemekhanika, 2019, No. 2, pp. 101–110.

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Krasheninnikov, P.V., Melent’ev, O.G., Kleyko, D.V. et al. Parameter Estimation for the Resulting Logical Channel Formed by Minimizing Channel Switching. Autom Remote Control 80, 278–285 (2019). https://doi.org/10.1134/S0005117919020061

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  • DOI: https://doi.org/10.1134/S0005117919020061

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