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International Conference on Computer Networks

CN 2011: Computer Networks pp 27–36Cite as

The Least Squares SVM Approach for a Non-linear Channel Prediction in the MIMO System

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 160))

Abstract

In this paper we investigate the problem of a Multiple-Input Multiple-Output (MIMO) frequency in a non-selective channel prediction. We develop a new method for the channel prediction which is based on the Least Squares Support Vector Machine (SVM). We develop a new method for the channel which allows us to predict a signal. The proposed method is evaluated through simulation in a MIMO system under a channel prediction.

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Author information

Authors and Affiliations

  1. Institute of Computer Science, Jagiellonian University, ul. Prof. S. Lojasiewicza 6, 30-348, Cracow, Poland

    Jerzy Martyna

Authors
  1. Jerzy Martyna
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Editor information

Editors and Affiliations

  1. Institute of Informatics, Silesian University of Technology, Gliwice, Poland

    Andrzej Kwiecień , Piotr Gaj  & Piotr Stera ,  & 

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Martyna, J. (2011). The Least Squares SVM Approach for a Non-linear Channel Prediction in the MIMO System. In: Kwiecień, A., Gaj, P., Stera, P. (eds) Computer Networks. CN 2011. Communications in Computer and Information Science, vol 160. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21771-5_4

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  • DOI: https://doi.org/10.1007/978-3-642-21771-5_4

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-21770-8

  • Online ISBN: 978-3-642-21771-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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