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New closed-form expressions for SNR estimates of Nakagami fading channels by the method of moments

Author

Listed:
  • Wamberto J. L. Queiroz

    (Federal University of Campina Grande - UFCG
    Institute for Advanced Studies on Communications - Iecom)

  • Danilo B. T. Almeida

    (Federal University of Campina Grande - UFCG
    Institute for Advanced Studies on Communications - Iecom)

  • Francisco Madeiro

    (Pernambuco Polytechnical School - POLI-UPE)

  • José V. M. Cardoso

    (Federal University of Campina Grande - UFCG
    Institute for Advanced Studies on Communications - Iecom)

  • Damião F. L. Pereira

    (Federal University of Campina Grande - UFCG
    Institute for Advanced Studies on Communications - Iecom)

  • Marcelo S. Alencar

    (Federal University of Campina Grande - UFCG
    Institute for Advanced Studies on Communications - Iecom)

Abstract

Method of moments has been a parameter estimation technique appropriate to calculate signal-to-noise ratio (SNR) estimates in fading channel models in which an optimal technique like maximum likelihood estimation is not mathematically tractable. In this article, the ratio of the second moment squared to the fourth moment of the received signal envelope is considered to calculate an exact expression for the SNR estimate in Nakagami-m fading channel for M-QAM and $$\theta $$ θ -MQAM modulations as well as expressions to evaluate the variance and the mean of the estimate. The paper presents two useful contributions for SNR estimation theory on Nakagami fading. Besides the exact algebraic expression for the estimate for a generalized QAM modulation scheme, its performance is evaluated through a statistical linearization argument.

Suggested Citation

  • Wamberto J. L. Queiroz & Danilo B. T. Almeida & Francisco Madeiro & José V. M. Cardoso & Damião F. L. Pereira & Marcelo S. Alencar, 2018. "New closed-form expressions for SNR estimates of Nakagami fading channels by the method of moments," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 69(3), pages 321-333, November.
    • Handle: RePEc:spr:telsys:v:69:y:2018:i:3:d:10.1007_s11235-018-0440-6
    DOI: 10.1007/s11235-018-0440-6
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    Cited by:

    1. Hilary I. Okagbue & Muminu O. Adamu & Timothy A. Anake & Ashiribo S. Wusu, 2019. "Nature inspired quantile estimates of the Nakagami distribution," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 72(4), pages 517-541, December.

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