Parametric Algorithm for Predicting the Channel Characteristics for High-Mobility Users in the LTE Communication System

We consider the problem of predicting the channel characteristics for the high-mobility users of the LTE communication system. An algorithm is proposed for predicting the channel coefficients on the basis of a parameterized autoregressive model whose parameters should be estimated using the superresolution methods of spectral analysis. Using numerical simulation and the system-level simulator, we estimate the efficiency of the proposed algorithm and compare it with the prediction algorithm on the basis of the autocorrelation approach and the Whittaker–Shannon interpolation formula. It is shown that the proposed algorithm allows one to achieve high accuracy of predicting the characteristics of the communication channel of the high-mobility users, which is comparable with the accuracy of estimating these characteristics for the users moving with low velocities.

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References

  1. 1.

    E. Dahlman, S. Parkvall, and J. Skold, 4G LTE/LTE-Advanced for Mobile Broadband, Academic Press, Cambridge (2011).

    Google Scholar 

  2. 2.

    V.T. Ermolayev and A. G. Flaksman, Theoretical Fundamentals of Signal Processing in Wireless Communication Systems [in Russian], N. I. Lobachevsky State University of Nizhny Novgorod, Nizhny Novgorod (2011).

  3. 3.

    C. Chen and D.W. Lin, in: IEEE Int. Conf. on Acoustics, Speech, and Signal Processing (ICASSP), May 4–9, 2014,Florence, Italy, pp. 6484–6488. https://doi.org/https://doi.org/10.1109/ICASSP.2014.6854853

  4. 4.

    A. Heidari, D.McAvoy, and A.K.Khandani, in: 23rd Biennial Symp. on Communications, May 29–June 1, 2006, Kingston, Ontario, Canada, pp. 219–222. https://doi.org/https://doi.org/10.1109/BSC.2006.1644608

  5. 5.

    M.D. Ortiguera, C. J. C. Matos, and M. S. Piedade, Nonlin. Dyn., 29, 173–190 (2002). https://doi.org/https://doi.org/10.1023/A:1016522226184

  6. 6.

    3GPP TR 36.873 (V12.1.0): “Study on 3D channel model for LTE (Release 12)” (2015).

  7. 7.

    V. V. Kuptsov, O. A. Shmonin, S.N.Trushkov, and A. S. Mikhailova, in: Proc. XXVth Sci.-Tech. Conf. “Information Systems and Technologies–2019,” April 19, 2019, Nizhny Novgorod, Russia, pp. 42-47.

  8. 8.

    A. B. Sergienko, Digital Signal Processing [in Russian], Piter, St. Petersburg (2002).

    Google Scholar 

  9. 9.

    J. G. Proakis, Digital Communications, Mc Graw-Hill, New York (1989).

    Google Scholar 

  10. 10.

    V. V. Voevodin, Linear Algebra [in Russian], Nauka, Moscow (1974).

    Google Scholar 

  11. 11.

    P. Stoica and R. Moses, Spectral Analysis of Signals, Prentice Hall, Upper Saddle River (2005).

    Google Scholar 

  12. 12.

    V. I. Krivosheev, Modern Methods for Digital Signal Processing (Digital Spectral Analysis) [in Russian], N. I. Lobachevsky State University of Nizhny Novgorod, Nizhny Novgorod (2006).

  13. 13.

    R. Roy and T. Kailath, IEEE Trans. Acoust. Speech Sign. Process., 37, No. 7, 984–995. https://doi.org/https://doi.org/10.1109/29.32276

  14. 14.

    R. O. Schmidt, IEEE Trans. Antennas Propag., 34, 276–280 (1986). https://doi.org/https://doi.org/10.1109/TAP.1986.1143830

  15. 15.

    V.T. Ermolayev, A. G. Flaksman, F.V. Elokhin, and O. A. Shmonin, Radiophys. Quantum Electron., 61, No. 3, 232–241 (2018). https://doi.org/https://doi.org/10.1007/s11141-018-9884-5

  16. 16.

    L.C. Godara, Smart Antennas, CRC Press, Boca Raton (2004).

    Google Scholar 

  17. 17.

    M. Wax and T. Kailath, IEEE Trans. Acoust. Speech Sign. Process., 33, 387–392 (1985). https://doi.org/https://doi.org/10.1109/TASSP.1985.1164557

  18. 18.

    A. N. Tikhonov and V.Ya. Arsenin, Solution of Ill-Posed Problems, Wiley, New York (1977).

    Google Scholar 

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Correspondence to V. V. Kuptsov.

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Translated from Izvestiya Vysshikh Uchebnykh Zavedenii, Radiofizika, Vol. 63, No. 4, pp. 344–355, April 2020.

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Kuptsov, V.V., Shmonin, O.A., Trushkov, S.N. et al. Parametric Algorithm for Predicting the Channel Characteristics for High-Mobility Users in the LTE Communication System. Radiophys Quantum El 63, 310–320 (2020). https://doi.org/10.1007/s11141-021-10055-1

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