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Optimizing the Performance of Triple-Binary Turbo Codes with Hierarchical QAM and K-NN Based Classification

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Smart and Sustainable Engineering for Next Generation Applications (ELECOM 2018)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 561))

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Abstract

The increasing use of hierarchical modulation techniques having fixed parameters with non-binary Turbo codes has risen the interest to obtain optimized parameters with a view to enhance the error performance. In this paper, a derivation of optimum parameters for performing Hierarchical modulation with16-QAM integrated with triple-binary turbo codes have been performed. The validation of the enhanced performance achieved using Hierarchical modulation with optimized parameters has been presented using EXIT charts. Additionally, a classification using K-NN method has been presented. The technique is used to forecast the optimized parameters at every Eb/N0. Results demonstrate that Triple-binary turbo codes with triple length of 152, code-rates = 1/3 and 1/2, and 16-QAM provide an average gain of 0.4 dB.

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Acknowledgments

The authors would like to thank the University of Mauritius for providing the necessary facilities in conducting this research.

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Authors and Affiliations

  1. Department of Electrical and Electronic Engineering, University of Mauritius, Réduit, Mauritius

    Yogesh Beeharry & Tulsi Pawan Fowdur

Authors
  1. Yogesh Beeharry
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  2. Tulsi Pawan Fowdur
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Corresponding author

Correspondence to Yogesh Beeharry .

Editor information

Editors and Affiliations

  1. Department of Automatic Control and Systems Engineering, University of Sheffield, Sheffield, UK

    Peter Fleming

  2. Transnet Centre of Systems Engineering, University of the Witwatersrand, Wits, South Africa

    Beatrys Margaretha Lacquet

  3. Department of Computer Science, University of Surrey, Guildford, UK

    Saeid Sanei

  4. Michigan State University , East Lansing, MI, USA

    Kalyanmoy Deb

  5. Department of Mathematical Statistics, Lund University, Lund, Sweden

    Andreas Jakobsson

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Beeharry, Y., Fowdur, T.P. (2019). Optimizing the Performance of Triple-Binary Turbo Codes with Hierarchical QAM and K-NN Based Classification. In: Fleming, P., Lacquet, B., Sanei, S., Deb, K., Jakobsson, A. (eds) Smart and Sustainable Engineering for Next Generation Applications. ELECOM 2018. Lecture Notes in Electrical Engineering, vol 561. Springer, Cham. https://doi.org/10.1007/978-3-030-18240-3_15

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  • DOI: https://doi.org/10.1007/978-3-030-18240-3_15

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-18239-7

  • Online ISBN: 978-3-030-18240-3

  • eBook Packages: EngineeringEngineering (R0)

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