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Improving BER Performance of Uplink LTE by Using Turbo Equalizer

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Internet of Things, Smart Spaces, and Next Generation Networks and Systems (ruSMART 2015, NEW2AN 2015)

Part of the book series: Lecture Notes in Computer Science ((LNCCN,volume 9247))

Abstract

The potential of turbo-equalization technique applied to uplink (UL) LTE signals detection is analyzed in this paper. The turbo equalizer, which is also called iterative receiver, represents a popular approach for detection of signals passed through a fading channel. The receiver performs equalization and decoding of error-correcting code in a loop. For implementation of the iterative receiver we performed two frequency-domain equalizers: the approximate MMSE SISO-equalizer and the soft interference canceller (SIC) SISO-equalizer. During the simulation, we analyzed several configurations of UL LTE with QPSK, 16-QAM, 64-QAM signal constellations and allocation of 25 and 100 resource blocks. All considered modes used rate 2/3 parallel concatenated convolutional code and single input single output antennas pattern. Bit error rate (BER) performance was estimated during the simulation with the extended vehicular A (EVA) model of multipath fading channel.

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References

  1. Proakis, J., Salehi, M.: Digital Communications, 5th edn. McGraw-Hill, New York (2008)

    Google Scholar 

  2. Myung, H.G., Goodman, D.: Single Carrier FDMA: A new air interface for long term evolution. John Wiley & Sons Ltd., Chichester (2008)

    Google Scholar 

  3. Douillard, C., Jezequel, M., Berrou, C.: Iterative correction of intersymbol interference: Turbo equalization. Eur. Trans. Telecommun. 6(5), 507–511 (1995)

    Article  Google Scholar 

  4. Shannon, C.E.: A mathematical theory of communication. The Bell System Technical Journal 27, 379–423, 623–656 (1948)

    Google Scholar 

  5. Viterbi, A.J.: Error bounds for convolutional codes and an asymptotically optimum decoding algorithm. IEEE Trans. Inform. Theory IT-13, 260–269 (1967)

    Article  Google Scholar 

  6. Bahl, L., Cocke, J., Jelinek, F., Raviv, J.: Optimal decoding of linear codes for minimizing symbol error rate. IEEE Trans. Inf. Theory IT-20, 284–287 (1974)

    Article  MathSciNet  Google Scholar 

  7. Berrou, C., Glavieux, A., Thitimajshima, P.: Near shannon limit error-correcting coding: turbo codes. In: Proc. IEEE Int. Conf. Commun., Geneva, Switzerland, pp. 1064–1070 (1993)

    Google Scholar 

  8. Benedetto, S., Montorsi, G., Divsalar, D., Pollara, F.: Serial concatenation of intereleaved codes: Performance analysis, design and iterative decoding. In: TDA Progr. Rep. 42–126, Jet Propulsion Lab., Pasadena, CA, pp. 1–26 (1996)

    Google Scholar 

  9. Benedetto, S., Divsalar, D., Montorsi, G., Pollara, F.: Serial concatenation of intereleaved codes: Performance analysis, design and iterative decoding. IEEE Trans. Inform. Theory 44, 909–926 (1998)

    Article  MATH  MathSciNet  Google Scholar 

  10. Hagenauer, J., Hoeher, P.: A Viterbi algorithm with soft-decision outputs and its applications. In: Proc. IEEE GLOBECOM, Dallas, TX, pp. 47.1.1−47.1.7 (1989)

    Google Scholar 

  11. Tüchler, M., Koetter, R., Singer, A.: Turbo equalization: principles and new results. IEEE Trans. Commun. 50(5), 754–767 (2002)

    Article  Google Scholar 

  12. Tüchler, M., Singer, A., Koetter, R.: Minimum mean squared error equalization using a priori information. IEEE Trans. Signal Process. 50(3), 673–683 (2002)

    Article  Google Scholar 

  13. Glavieux, A., Laot, C., Labat, J.: Turbo equalization over a frequency selective channel. In: Proc. Int. Symp. Turbo Codes Related Topics, Brest, France, pp. 96–102, September 1997

    Google Scholar 

  14. Raphaeli, D., Saguy, A.: Linear equalizers for turbo equalization: A new optimization criterion for determining the equalizer taps. In: Proc. Int. Symp. Turbo Codes Related Topics, Brest, France, pp. 371–374, September 2000

    Google Scholar 

  15. Trajkovic, V.D.: Novel exact low complexity MMSE turbo equalization. In: IEEE 19th Int. Symp. Personal, Indoor and Mobile Radio Commun., pp. 1–5, September 15–18, 2008

    Google Scholar 

  16. Ampeliotis, D., Berberidis, K.: A linear complexity turbo equalizer based on a modified soft interference canceller. In: IEEE 7th WS Signal Proc. Advances in Wireless Commun., pp. 1–5, July 2–5, 2006

    Google Scholar 

  17. Benvenuto, N., Tomasin, S.: On the comparison between OFDM and single-carrier modulation with a DFE using a frequency-domain feed forward filter. IEEE Trans. Commun. 50(6), 947–955 (2002)

    Article  Google Scholar 

  18. Huang, G., Nix, A., Armour, S.: Decision feedback equalization in SC-FDMA. In: IEEE 19th Int. Symp. Personal, Indoor and Mobile Radio Commun., pp. 1–5, September 15–18, 2008

    Google Scholar 

  19. Wang, Q., Yuan, C., Zhang, J., Li, Y.: A robust low complexity frequency domain iterative block DFE for SC-FDMA system. In: IEEE Int. Conf. on Commun. pp. 5042–5046, June 9–13, 2013

    Google Scholar 

  20. Tuchler, M., Singer, A.C.: Turbo equalization: an overview. IEEE Trans. Inf. Theory 57(2), 920–952 (2011)

    Article  MathSciNet  Google Scholar 

  21. Wu, B., Niu, K., Gong, P., Sun, S.: An improved MMSE turbo equalization algorithm in frequency domain. In: IEEE 14th Int. Conf. Commun. Technology (ICCT), pp. 444–448, November 9–11, 2012

    Google Scholar 

  22. Jar, M., Bouton, E., Schlegel, C.: Frequency domain iterative equalization for single-carrier FDMA. In: IEEE 12th Int. WS Signal Proc. Advances in Wireless Commun., pp. 301–305, June 26–29, 2011

    Google Scholar 

  23. 3GPP TS 36.211 3rd Generation Partnership Project; Technical Specification Group Radio Access Network; Evolved Universal Terrestrial Radio Access (E-UTRA). Physical Channels and Modulation

    Google Scholar 

  24. 3GPP TS 36.212 3rd Generation Partnership Project; Technical Specification Group Radio Access Network; Evolved Universal Terrestrial Radio Access (E-UTRA). Multiplexing and channel coding

    Google Scholar 

  25. Sherman, J., Morrison, W.: Adjustment of an Inverse Matrix Corresponding to a Change in One Element of a Given Matrix. Annals of Mathematical Statistics 21(1), 124–127 (1950)

    Article  MATH  MathSciNet  Google Scholar 

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Authors and Affiliations

  1. Peter the Great St. Petersburg Polytechnic University, St. Petersburg, Russia

    Aleksandr Gelgor, Anton Gorlov, Evgenii Popov & Tatiana Gelgor

  2. ZAO SBT, Moscow, Russia

    Pavel Ivanov & Andrey Arkhipkin

Authors
  1. Aleksandr Gelgor
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  2. Anton Gorlov
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  3. Pavel Ivanov
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  4. Evgenii Popov
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  5. Andrey Arkhipkin
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  6. Tatiana Gelgor
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Corresponding author

Correspondence to Aleksandr Gelgor .

Editor information

Editors and Affiliations

  1. FRUCT Oy, Helsinki, Finland

    Sergey Balandin

  2. Tampere University of Technology, Tampere, Finland

    Sergey Andreev

  3. Tampere University of Technology, Tampere, Finland

    Yevgeni Koucheryavy

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Gelgor, A., Gorlov, A., Ivanov, P., Popov, E., Arkhipkin, A., Gelgor, T. (2015). Improving BER Performance of Uplink LTE by Using Turbo Equalizer. In: Balandin, S., Andreev, S., Koucheryavy, Y. (eds) Internet of Things, Smart Spaces, and Next Generation Networks and Systems. ruSMART NEW2AN 2015 2015. Lecture Notes in Computer Science(), vol 9247. Springer, Cham. https://doi.org/10.1007/978-3-319-23126-6_40

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  • DOI: https://doi.org/10.1007/978-3-319-23126-6_40

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-23125-9

  • Online ISBN: 978-3-319-23126-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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