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International Workshop on Soft Computing Models in Industrial and Environmental Applications

Computational Intelligence in Security for Information Systems Conference

International Conference on EUropean Transnational Education

SOCO 2016, CISIS 2016, ICEUTE 2016: International Joint Conference SOCO’16-CISIS’16-ICEUTE’16 pp 85–91Cite as

Impulse Noise Detection in OFDM Communication System Using Machine Learning Ensemble Algorithms

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 527))

Abstract

An impulse noise detection scheme employing machine learning (ML) algorithm in Orthogonal Frequency Division Multiplexing (OFDM) is investigated. Four powerful ML’s multi-classifiers (ensemble) algorithms (Boosting (Bos), Bagging (Bag), Stacking (Stack) and Random Forest (RF)) were used at the receiver side of the OFDM system to detect if the received noisy signal contained impulse noise or not. The ML’s ensembles were trained with the Middleton Class A noise model which was the noise model used in the OFDM system. In terms of prediction accuracy, the results obtained from the four ML’s Ensembles techniques show that ML can be used to predict impulse noise in communication systems, in particular OFDM.

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Author information

Authors and Affiliations

  1. Department of Electrical and Electronic Engineering Technology, University of Johannesburg, Doornfontein, P. O. Box 17011, Johannesburg, 2028, South Africa

    Ali N. Hasan & Thokozani Shongwe

Authors
  1. Ali N. Hasan
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  2. Thokozani Shongwe
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Corresponding author

Correspondence to Ali N. Hasan .

Editor information

Editors and Affiliations

  1. Computational Intelligence Group, University of the Basque Country (UPV/EHU), San Sebastian, Spain

    Manuel Graña

  2. University of the Basque Country, Vitoria, Spain

    José Manuel López-Guede

  3. Computational Intelligence Group, University of the Basque Country (UPV/EHU), San Sebastian, Spain

    Oier Etxaniz

  4. Department of Civil Engineering, University of Burgos, Burgos, Spain

    Álvaro Herrero

  5. University of Salamanca, Salamanca, Spain

    Héctor Quintián

  6. University of Salamanca, Salamanca, Spain

    Emilio Corchado

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Hasan, A.N., Shongwe, T. (2017). Impulse Noise Detection in OFDM Communication System Using Machine Learning Ensemble Algorithms. In: Graña, M., López-Guede, J.M., Etxaniz, O., Herrero, Á., Quintián, H., Corchado, E. (eds) International Joint Conference SOCO’16-CISIS’16-ICEUTE’16. SOCO CISIS ICEUTE 2016 2016 2016. Advances in Intelligent Systems and Computing, vol 527. Springer, Cham. https://doi.org/10.1007/978-3-319-47364-2_9

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  • DOI: https://doi.org/10.1007/978-3-319-47364-2_9

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-47363-5

  • Online ISBN: 978-3-319-47364-2

  • eBook Packages: EngineeringEngineering (R0)

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